{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SWEET/BONOBO/LIONESS Clustering assignment\n",
    "\n",
    "We first check the correlation between the group of interest and that of the other ones\n",
    "\n",
    "We check how well the clustering is done. We create two labels:\n",
    "- labels_genetics: same integer for samples with the same mutation (for instance all gcn4 together)\n",
    "- labels_media: same integer for samples in the same medium (for instance all YPD together)\n",
    "\n",
    "Then we apply rand scores, adjuster rand, mutual information.\n",
    "\n",
    "\n",
    "Here we are comparing the performances of SWEET/BONOBO/LIONESS \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import scipy.stats as stats\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import glob as glob\n",
    "glob.glob('../../project-bonobo/inferelator_performance_comparison/spcc_top1k_from20230908_20240130/*')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "dictionary_comparison = {\n",
    "    'bonobo_top1k': '../../project-bonobo/inferelator_performance_comparison/batch-20240130/bonobo_top1k_from20230908_20240130/',\n",
    "    'bonobo_sparse' : '../../project-bonobo/inferelator_performance_comparison//batch-20240130/bonobo_sparse_from20230908_20240130/',\n",
    "    'sweet_top1k' : '/Users/violafanfani/Documents/uni-harvard/projects/project-yeast-cycle-lioness/results/bonobo-yeast/sweet/sweet_top1k/',\n",
    "    'sweet_sparse' : '/Users/violafanfani/Documents/uni-harvard/projects/project-yeast-cycle-lioness/results/bonobo-yeast/sweet/sweet_sparse/',\n",
    "    'lioness_top1k' : '../../project-bonobo/inferelator_performance_comparison/batch-20240130/lioness_from20230908_20240130/',\n",
    "    'spcc_top1k' : '../../project-bonobo/inferelator_performance_comparison/batch-20240130/spcc_top1k_from20230908_20240130/'\n",
    "}\n",
    "\n",
    "if os.path.exists('../../project-bonobo/inferelator_performance_comparison/batch-20240130-new/figures') == False: \n",
    "    os.mkdir('../../project-bonobo/inferelator_performance_comparison/batch-20240130-new/')\n",
    "    os.mkdir('../../project-bonobo/inferelator_performance_comparison/batch-20240130-new/figures/')\n",
    "    os.mkdir('../../project-bonobo/inferelator_performance_comparison/batch-20240130-new/tables/')\n",
    "results_figures = '../../project-bonobo/inferelator_performance_comparison/batch-20240130-new/figures/'\n",
    "results_tables = '../../project-bonobo/inferelator_performance_comparison/batch-20240130-new/tables/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "method_order = ['bonobo_top1k', 'bonobo_sparse', 'sweet_top1k', 'sweet_sparse', 'lioness_top1k', 'spcc_top1k']\n",
    "method_palette = ['#fb9a99', '#e31a1c', '#a6cee3', '#1f78b4', '#b2df8a', '#6a3d9a']\n",
    "\n",
    "\n",
    "bonobo_sparse_color = '#e31a1c'\n",
    "bonobo_top1k_color = '#fb9a99'\n",
    "sweet_sparse_color = '#1f78b4'\n",
    "sweet_top1k_color = '#a6cee3'\n",
    "lioness_top1k_color = '#b2df8a'\n",
    "lioness_sparse_color = '#33a02c'\n",
    "spcc_sparse_color = '#6a3d9a'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample</th>\n",
       "      <th>auc</th>\n",
       "      <th>check</th>\n",
       "      <th>tpr</th>\n",
       "      <th>fpr</th>\n",
       "      <th>th</th>\n",
       "      <th>group</th>\n",
       "      <th>network</th>\n",
       "      <th>method</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>dal82_MinimalGlucose</td>\n",
       "      <td>0.495041</td>\n",
       "      <td>genetics</td>\n",
       "      <td>[0.         0.00826446 0.12396694 0.12396694 0...</td>\n",
       "      <td>[0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.5 0.5 0...</td>\n",
       "      <td>[1.9999976  0.9999976  0.99999146 0.99999133 0...</td>\n",
       "      <td>dal82</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dal82_MinimalGlucose</td>\n",
       "      <td>0.813636</td>\n",
       "      <td>media</td>\n",
       "      <td>[0.         0.         0.         0.10833333 0...</td>\n",
       "      <td>[0.         0.09090909 0.63636364 0.63636364 0...</td>\n",
       "      <td>[1.9999976  0.9999976  0.99999369 0.99998881 0...</td>\n",
       "      <td>MinimalGlucose</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dal81_YPDDiauxic</td>\n",
       "      <td>0.382645</td>\n",
       "      <td>genetics</td>\n",
       "      <td>[0.         0.00826446 0.11570248 0.11570248 0...</td>\n",
       "      <td>[0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...</td>\n",
       "      <td>[1.99999076 0.99999076 0.99995019 0.9999495  0...</td>\n",
       "      <td>dal81</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>dal81_YPDDiauxic</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>media</td>\n",
       "      <td>[0. 0. 0. 1.]</td>\n",
       "      <td>[0.         0.09090909 1.         1.        ]</td>\n",
       "      <td>[1.99999076 0.99999076 0.99996292 0.99966506]</td>\n",
       "      <td>YPDDiauxic</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gln3_YPD</td>\n",
       "      <td>0.289256</td>\n",
       "      <td>genetics</td>\n",
       "      <td>[0.         0.00826446 0.34710744 0.34710744 0...</td>\n",
       "      <td>[0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...</td>\n",
       "      <td>[1.99999555 0.99999555 0.99996651 0.99996615 0...</td>\n",
       "      <td>gln3</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>gzf3_YPDDiauxic</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>media</td>\n",
       "      <td>[0. 0. 0. 1.]</td>\n",
       "      <td>[0.         0.09090909 1.         1.        ]</td>\n",
       "      <td>[ 1.9917696   0.9917696   0.96563158 -0.29382011]</td>\n",
       "      <td>YPDDiauxic</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>gzf3_YPDRapa</td>\n",
       "      <td>0.490909</td>\n",
       "      <td>genetics</td>\n",
       "      <td>[0.         0.00826446 0.14049587 0.14049587 0...</td>\n",
       "      <td>[0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...</td>\n",
       "      <td>[ 1.93487188  0.93487188  0.29838474  0.292211...</td>\n",
       "      <td>gzf3</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>gzf3_YPDRapa</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>media</td>\n",
       "      <td>[0. 0. 0. 1.]</td>\n",
       "      <td>[0.         0.09090909 1.         1.        ]</td>\n",
       "      <td>[ 1.93487188  0.93487188  0.5737038  -0.10993572]</td>\n",
       "      <td>YPDRapa</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>gzf3_YPEtOH</td>\n",
       "      <td>0.424793</td>\n",
       "      <td>genetics</td>\n",
       "      <td>[0.         0.00826446 0.10743802 0.10743802 0...</td>\n",
       "      <td>[0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...</td>\n",
       "      <td>[ 1.79672202  0.79672202  0.51782823  0.510971...</td>\n",
       "      <td>gzf3</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>gzf3_YPEtOH</td>\n",
       "      <td>0.905303</td>\n",
       "      <td>media</td>\n",
       "      <td>[0.         0.         0.         0.00833333 0...</td>\n",
       "      <td>[0.         0.09090909 0.72727273 0.72727273 0...</td>\n",
       "      <td>[ 1.79672202  0.79672202  0.66490774  0.563559...</td>\n",
       "      <td>YPEtOH</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1584 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   sample       auc     check  \\\n",
       "0    dal82_MinimalGlucose  0.495041  genetics   \n",
       "1    dal82_MinimalGlucose  0.813636     media   \n",
       "2        dal81_YPDDiauxic  0.382645  genetics   \n",
       "3        dal81_YPDDiauxic  1.000000     media   \n",
       "4                gln3_YPD  0.289256  genetics   \n",
       "..                    ...       ...       ...   \n",
       "259       gzf3_YPDDiauxic  1.000000     media   \n",
       "260          gzf3_YPDRapa  0.490909  genetics   \n",
       "261          gzf3_YPDRapa  1.000000     media   \n",
       "262           gzf3_YPEtOH  0.424793  genetics   \n",
       "263           gzf3_YPEtOH  0.905303     media   \n",
       "\n",
       "                                                   tpr  \\\n",
       "0    [0.         0.00826446 0.12396694 0.12396694 0...   \n",
       "1    [0.         0.         0.         0.10833333 0...   \n",
       "2    [0.         0.00826446 0.11570248 0.11570248 0...   \n",
       "3                                        [0. 0. 0. 1.]   \n",
       "4    [0.         0.00826446 0.34710744 0.34710744 0...   \n",
       "..                                                 ...   \n",
       "259                                      [0. 0. 0. 1.]   \n",
       "260  [0.         0.00826446 0.14049587 0.14049587 0...   \n",
       "261                                      [0. 0. 0. 1.]   \n",
       "262  [0.         0.00826446 0.10743802 0.10743802 0...   \n",
       "263  [0.         0.         0.         0.00833333 0...   \n",
       "\n",
       "                                                   fpr  \\\n",
       "0    [0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.5 0.5 0...   \n",
       "1    [0.         0.09090909 0.63636364 0.63636364 0...   \n",
       "2    [0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...   \n",
       "3        [0.         0.09090909 1.         1.        ]   \n",
       "4    [0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...   \n",
       "..                                                 ...   \n",
       "259      [0.         0.09090909 1.         1.        ]   \n",
       "260  [0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...   \n",
       "261      [0.         0.09090909 1.         1.        ]   \n",
       "262  [0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...   \n",
       "263  [0.         0.09090909 0.72727273 0.72727273 0...   \n",
       "\n",
       "                                                    th           group  \\\n",
       "0    [1.9999976  0.9999976  0.99999146 0.99999133 0...           dal82   \n",
       "1    [1.9999976  0.9999976  0.99999369 0.99998881 0...  MinimalGlucose   \n",
       "2    [1.99999076 0.99999076 0.99995019 0.9999495  0...           dal81   \n",
       "3        [1.99999076 0.99999076 0.99996292 0.99966506]      YPDDiauxic   \n",
       "4    [1.99999555 0.99999555 0.99996651 0.99996615 0...            gln3   \n",
       "..                                                 ...             ...   \n",
       "259  [ 1.9917696   0.9917696   0.96563158 -0.29382011]      YPDDiauxic   \n",
       "260  [ 1.93487188  0.93487188  0.29838474  0.292211...            gzf3   \n",
       "261  [ 1.93487188  0.93487188  0.5737038  -0.10993572]         YPDRapa   \n",
       "262  [ 1.79672202  0.79672202  0.51782823  0.510971...            gzf3   \n",
       "263  [ 1.79672202  0.79672202  0.66490774  0.563559...          YPEtOH   \n",
       "\n",
       "          network        method  \n",
       "0    bonobo_top1k  bonobo_top1k  \n",
       "1    bonobo_top1k  bonobo_top1k  \n",
       "2    bonobo_top1k  bonobo_top1k  \n",
       "3    bonobo_top1k  bonobo_top1k  \n",
       "4    bonobo_top1k  bonobo_top1k  \n",
       "..            ...           ...  \n",
       "259    spcc_top1k    spcc_top1k  \n",
       "260    spcc_top1k    spcc_top1k  \n",
       "261    spcc_top1k    spcc_top1k  \n",
       "262    spcc_top1k    spcc_top1k  \n",
       "263    spcc_top1k    spcc_top1k  \n",
       "\n",
       "[1584 rows x 9 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the correlation performance data\n",
    "fn_correlation = 'network_correlation_performance.csv'\n",
    "perf_correlation = pd.DataFrame()\n",
    "for i,val in dictionary_comparison.items():\n",
    "    with open(val+fn_correlation, 'r') as f:\n",
    "        temp = pd.read_csv(f)\n",
    "        temp['method'] = i\n",
    "    perf_correlation = pd.concat([perf_correlation, temp], axis=0)\n",
    "perf_correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample</th>\n",
       "      <th>auc</th>\n",
       "      <th>check</th>\n",
       "      <th>tpr</th>\n",
       "      <th>fpr</th>\n",
       "      <th>th</th>\n",
       "      <th>group</th>\n",
       "      <th>network</th>\n",
       "      <th>method</th>\n",
       "      <th>method_choice</th>\n",
       "      <th>gene_choice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>dal82_MinimalGlucose</td>\n",
       "      <td>0.495041</td>\n",
       "      <td>genetics</td>\n",
       "      <td>[0.         0.00826446 0.12396694 0.12396694 0...</td>\n",
       "      <td>[0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.5 0.5 0...</td>\n",
       "      <td>[1.9999976  0.9999976  0.99999146 0.99999133 0...</td>\n",
       "      <td>dal82</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dal82_MinimalGlucose</td>\n",
       "      <td>0.813636</td>\n",
       "      <td>media</td>\n",
       "      <td>[0.         0.         0.         0.10833333 0...</td>\n",
       "      <td>[0.         0.09090909 0.63636364 0.63636364 0...</td>\n",
       "      <td>[1.9999976  0.9999976  0.99999369 0.99998881 0...</td>\n",
       "      <td>MinimalGlucose</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dal81_YPDDiauxic</td>\n",
       "      <td>0.382645</td>\n",
       "      <td>genetics</td>\n",
       "      <td>[0.         0.00826446 0.11570248 0.11570248 0...</td>\n",
       "      <td>[0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...</td>\n",
       "      <td>[1.99999076 0.99999076 0.99995019 0.9999495  0...</td>\n",
       "      <td>dal81</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>dal81_YPDDiauxic</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>media</td>\n",
       "      <td>[0. 0. 0. 1.]</td>\n",
       "      <td>[0.         0.09090909 1.         1.        ]</td>\n",
       "      <td>[1.99999076 0.99999076 0.99996292 0.99966506]</td>\n",
       "      <td>YPDDiauxic</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gln3_YPD</td>\n",
       "      <td>0.289256</td>\n",
       "      <td>genetics</td>\n",
       "      <td>[0.         0.00826446 0.34710744 0.34710744 0...</td>\n",
       "      <td>[0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...</td>\n",
       "      <td>[1.99999555 0.99999555 0.99996651 0.99996615 0...</td>\n",
       "      <td>gln3</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 sample       auc     check  \\\n",
       "0  dal82_MinimalGlucose  0.495041  genetics   \n",
       "1  dal82_MinimalGlucose  0.813636     media   \n",
       "2      dal81_YPDDiauxic  0.382645  genetics   \n",
       "3      dal81_YPDDiauxic  1.000000     media   \n",
       "4              gln3_YPD  0.289256  genetics   \n",
       "\n",
       "                                                 tpr  \\\n",
       "0  [0.         0.00826446 0.12396694 0.12396694 0...   \n",
       "1  [0.         0.         0.         0.10833333 0...   \n",
       "2  [0.         0.00826446 0.11570248 0.11570248 0...   \n",
       "3                                      [0. 0. 0. 1.]   \n",
       "4  [0.         0.00826446 0.34710744 0.34710744 0...   \n",
       "\n",
       "                                                 fpr  \\\n",
       "0  [0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.5 0.5 0...   \n",
       "1  [0.         0.09090909 0.63636364 0.63636364 0...   \n",
       "2  [0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...   \n",
       "3      [0.         0.09090909 1.         1.        ]   \n",
       "4  [0.  0.  0.  0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0...   \n",
       "\n",
       "                                                  th           group  \\\n",
       "0  [1.9999976  0.9999976  0.99999146 0.99999133 0...           dal82   \n",
       "1  [1.9999976  0.9999976  0.99999369 0.99998881 0...  MinimalGlucose   \n",
       "2  [1.99999076 0.99999076 0.99995019 0.9999495  0...           dal81   \n",
       "3      [1.99999076 0.99999076 0.99996292 0.99966506]      YPDDiauxic   \n",
       "4  [1.99999555 0.99999555 0.99996651 0.99996615 0...            gln3   \n",
       "\n",
       "        network        method method_choice gene_choice  \n",
       "0  bonobo_top1k  bonobo_top1k        bonobo       top1k  \n",
       "1  bonobo_top1k  bonobo_top1k        bonobo       top1k  \n",
       "2  bonobo_top1k  bonobo_top1k        bonobo       top1k  \n",
       "3  bonobo_top1k  bonobo_top1k        bonobo       top1k  \n",
       "4  bonobo_top1k  bonobo_top1k        bonobo       top1k  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Split column\n",
    "perf_correlation['method_choice'] = perf_correlation.method.str.split('_').str[0]\n",
    "perf_correlation['gene_choice'] = perf_correlation.method.str.split('_').str[1]\n",
    "perf_correlation.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "perf_correlation.to_csv(results_tables+'correlation_performance_all.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "39//4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1375.35x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the performance\n",
    "\n",
    "sweet_color = '#377eb8'\n",
    "bonobo_color = \"#e41a1c\"\n",
    "lioness_color = '#4daf4a'\n",
    "\n",
    "\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "sns.set_context(\"notebook\")\n",
    "\n",
    "g1 = sns.catplot(data = perf_correlation.sort_values(by = 'check'), x = 'group', y = 'auc', hue = 'method_choice', row = 'gene_choice',\n",
    "                 kind = 'violin', \n",
    "                 width = .7,\n",
    "                 aspect = 2.5, palette = [sweet_color, bonobo_color, lioness_color, spcc_sparse_color], linewidth = .5, cut = 0, fill = False)#, cut = 0)\n",
    "# rotate xtick labels\n",
    "g1.set_xticklabels(rotation=90)\n",
    "\n",
    "#for ax in g1.axes.flatten():\n",
    "#    for c in ax.collections:\n",
    "        #c.set_edgecolor(c.get_facecolor())\n",
    "\n",
    "xticks = g1.axes.flat[0].get_xticks()\n",
    "# add horizontal grid lines\n",
    "for ax in g1.axes.flat:\n",
    "    ax.yaxis.grid(True)\n",
    "    ax.axhline(0.5, ls = '--',lw= 2, color = 'red', alpha = 0.5)\n",
    "    ax.axvline(11.5,lw= 1, color = 'k', alpha = 0.5)\n",
    "    ax.tick_params(labelbottom=True)\n",
    "    ax.annotate('Genotype', xy=(4, 1), xytext=(4, .9), fontsize=14, color = '#636363')\n",
    "    ax.annotate('Media', xy=(16, .1), xytext=(16, .1), fontsize=14, color = '#636363')\n",
    "    \n",
    "    \n",
    "plt.tight_layout()\n",
    "\n",
    "sns.move_legend(g1, \"upper left\", bbox_to_anchor=(1, 1), title='Network', )\n",
    "\n",
    "#g1.ax.yaxis.grid(True)\n",
    "# Add y axis line for 0.5\n",
    "#g1.ax.axhline(0.5, ls = '--',lw= 2, color = 'red', alpha = 0.5)\n",
    "g1.fig.savefig(results_figures + 'network_correlation_performance.pdf', bbox_inches = 'tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "perf_correlation[perf_correlation.check == 'media'].group.unique()\n",
    "media_label_dictionary = {\n",
    "    'MinimalGlucose':'Minimal\\nGlucose',\n",
    "    'YPDDiauxic':'YPD\\nDiauxic',\n",
    "    'YPD':'YPD', 'YPDRapa':'YPD\\nRapa', 'MinimalEtOH':'Minimal\\nEtOH',\n",
    "       'Glutamine':'Glutamine', 'AmmoniumSulfate':'Ammonium\\nSulfate', 'YPEtOH':'YPEtOH', 'Proline':'Proline', 'CStarve':'CStarve',\n",
    "       'Urea':'Urea'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the performance\n",
    "\n",
    "sweet_color = '#377eb8'\n",
    "bonobo_color = \"#e41a1c\"\n",
    "lioness_color = '#4daf4a'\n",
    "\n",
    "\n",
    "bonobo_color = '#f8776d'\n",
    "bonobo_sparse_color = '#ffbab5'\n",
    "lioness_color = '#7cae00'\n",
    "spcc_color = '#00bfc4'\n",
    "sweet_color = '#c77cff'\n",
    "sweet_sparse_color = '#d3a9ff'\n",
    "\n",
    "\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "sns.set_context(\"notebook\")\n",
    "sns.set(rc={'axes.facecolor':'#EBEBEB'})\n",
    "\n",
    "\n",
    "f, ax = plt.subplots(2, 1, figsize = (10, 8))\n",
    "\n",
    "sns.violinplot(data = perf_correlation[perf_correlation.check == 'genetics'].sort_values(by = 'auc', ascending = False), \n",
    "                            y = 'auc', x = 'group', hue = 'method', ax = ax[0],\n",
    "                            xmin = 0, xmax = 1, cut = 0, linewidth = 1, scale = 'width', inner = 'quartile',\n",
    "                            width = .7,\n",
    "                            hue_order = ['bonobo_top1k', 'bonobo_sparse', 'sweet_top1k', 'sweet_sparse','lioness_top1k', 'spcc_top1k'],\n",
    "                            palette = [bonobo_color, bonobo_sparse_color, sweet_color, sweet_sparse_color, lioness_color, spcc_color])\n",
    "\n",
    "sns.violinplot(data = perf_correlation[perf_correlation.check == 'media'].sort_values(by = 'auc', ascending = False), \n",
    "                            y = 'auc', x = 'group', hue = 'method', ax = ax[1],\n",
    "                            width = .7,\n",
    "                            xmin = 0, xmax = 1, cut = 0, linewidth = 1, scale = 'width', inner = 'quartile',\n",
    "                            hue_order = ['bonobo_top1k', 'bonobo_sparse', 'sweet_top1k', 'sweet_sparse','lioness_top1k', 'spcc_top1k'],\n",
    "                            palette = [bonobo_color, bonobo_sparse_color, sweet_color, sweet_sparse_color, lioness_color, spcc_color])\n",
    "\n",
    "\n",
    "# rotate xtick labels\n",
    "#g1.set_xticklabels(rotation=90)\n",
    "\n",
    "#for ax in g1.axes.flatten():\n",
    "#    for c in ax.collections:\n",
    "        #c.set_edgecolor(c.get_facecolor())\n",
    "\n",
    "xticks = g1.axes.flat[0].get_xticks()\n",
    "# add horizontal grid lines\n",
    "for axis in ax:\n",
    "    axis.set_ylim(0, 1.1)\n",
    "    axis.xaxis.grid(True)\n",
    "    axis.axhline(0.5, ls = '--',lw= 2, color = 'red', alpha = 0.5)\n",
    "    axis.set_xlabel('')\n",
    "    #axis.tick_params(labelbottom=True)\n",
    "    #axis.annotate('Genotype', xy=(4, 1), xytext=(4, .9), fontsize=14, color = '#636363')\n",
    "    #axis.annotate('Media', xy=(16, .1), xytext=(16, .1), fontsize=14, color = '#636363')\n",
    "\n",
    "ax[0].set_title('Genetics')\n",
    "ax[1].set_title('Media')\n",
    "\n",
    "ax[1].set_xticklabels([media_label_dictionary[i.get_text()] for i in ax[1].get_xticklabels()])\n",
    "    \n",
    "plt.tight_layout()\n",
    "\n",
    "sns.move_legend(g1, \"upper left\", bbox_to_anchor=(1, 1), title='Network', )\n",
    "\n",
    "#g1.ax.yaxis.grid(True)\n",
    "# Add y axis line for 0.5\n",
    "#g1.ax.axhline(0.5, ls = '--',lw= 2, color = 'red', alpha = 0.5)\n",
    "f.savefig(results_figures + 'network_correlation_performance_ggplotcolors.pdf', bbox_inches = 'tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'../../project-bonobo/inferelator_performance_comparison/batch-20240130-new/figures/'"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_figures"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clustering performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>metric</th>\n",
       "      <th>value</th>\n",
       "      <th>check</th>\n",
       "      <th>clustering_method</th>\n",
       "      <th>method</th>\n",
       "      <th>network</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>adjusted_rand_score</td>\n",
       "      <td>0.643752</td>\n",
       "      <td>media</td>\n",
       "      <td>kmeans</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>adjusted_rand_score</td>\n",
       "      <td>-0.050391</td>\n",
       "      <td>genetics</td>\n",
       "      <td>kmeans</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>adjusted_mutual_info_score</td>\n",
       "      <td>0.756426</td>\n",
       "      <td>media</td>\n",
       "      <td>kmeans</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>adjusted_mutual_info_score</td>\n",
       "      <td>-0.157482</td>\n",
       "      <td>genetics</td>\n",
       "      <td>kmeans</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>completeness_score</td>\n",
       "      <td>0.810615</td>\n",
       "      <td>media</td>\n",
       "      <td>kmeans</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>adjusted_mutual_info_score</td>\n",
       "      <td>-0.053117</td>\n",
       "      <td>genetics</td>\n",
       "      <td>ac_ward</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>completeness_score</td>\n",
       "      <td>0.711582</td>\n",
       "      <td>media</td>\n",
       "      <td>ac_ward</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>completeness_score</td>\n",
       "      <td>0.184937</td>\n",
       "      <td>genetics</td>\n",
       "      <td>ac_ward</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>fowlkes_mallows_score</td>\n",
       "      <td>0.377993</td>\n",
       "      <td>media</td>\n",
       "      <td>ac_ward</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>fowlkes_mallows_score</td>\n",
       "      <td>0.126402</td>\n",
       "      <td>genetics</td>\n",
       "      <td>ac_ward</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>136 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        metric     value     check clustering_method  \\\n",
       "0          adjusted_rand_score  0.643752     media            kmeans   \n",
       "1          adjusted_rand_score -0.050391  genetics            kmeans   \n",
       "2   adjusted_mutual_info_score  0.756426     media            kmeans   \n",
       "3   adjusted_mutual_info_score -0.157482  genetics            kmeans   \n",
       "4           completeness_score  0.810615     media            kmeans   \n",
       "..                         ...       ...       ...               ...   \n",
       "19  adjusted_mutual_info_score -0.053117  genetics           ac_ward   \n",
       "20          completeness_score  0.711582     media           ac_ward   \n",
       "21          completeness_score  0.184937  genetics           ac_ward   \n",
       "22       fowlkes_mallows_score  0.377993     media           ac_ward   \n",
       "23       fowlkes_mallows_score  0.126402  genetics           ac_ward   \n",
       "\n",
       "          method network  \n",
       "0   bonobo_top1k     NaN  \n",
       "1   bonobo_top1k     NaN  \n",
       "2   bonobo_top1k     NaN  \n",
       "3   bonobo_top1k     NaN  \n",
       "4   bonobo_top1k     NaN  \n",
       "..           ...     ...  \n",
       "19    spcc_top1k     NaN  \n",
       "20    spcc_top1k     NaN  \n",
       "21    spcc_top1k     NaN  \n",
       "22    spcc_top1k     NaN  \n",
       "23    spcc_top1k     NaN  \n",
       "\n",
       "[136 rows x 6 columns]"
      ]
     },
     "execution_count": 278,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the correlation performance data\n",
    "fn_correlation = 'clustering_performance.csv'\n",
    "perf_clustering = pd.DataFrame()\n",
    "for i,val in dictionary_comparison.items():\n",
    "    with open(val+fn_correlation, 'r') as f:\n",
    "        temp = pd.read_csv(f)\n",
    "        temp['method'] = i\n",
    "    perf_clustering = pd.concat([perf_clustering, temp], axis=0)\n",
    "perf_clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split column\n",
    "perf_clustering['method_choice'] = perf_clustering.method.str.split('_').str[0]\n",
    "perf_clustering['gene_choice'] = perf_clustering.method.str.split('_').str[1]\n",
    "perf_clustering.head()\n",
    "perf_clustering.to_csv(results_tables+'clustering_performance_all.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1889.62x1200 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_context('paper')\n",
    "g1 = sns.catplot(data = perf_clustering[perf_clustering['gene_choice']=='top1k'],\n",
    "            row = 'metric', \n",
    "            y = 'value', \n",
    "            hue = 'check',\n",
    "            x = 'clustering_method', \n",
    "            kind = 'bar', \n",
    "            col = 'method_choice',\n",
    "            #col_wrap = 2,\n",
    "            aspect = 1.5,\n",
    "            height=3, \n",
    "            sharey = True, \n",
    "            hue_order = ['media', 'genetics'],\n",
    "            palette = [media_color, genetics_color], )\n",
    "\n",
    "plt.tight_layout()\n",
    "g1.savefig(results_figures + 'clustering_performance_top1k.pdf', bbox_inches = 'tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA90AAASnCAYAAAD40BuvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAA9hAAAPYQGoP6dpAAD6OUlEQVR4nOzdeVyU9f7//yeLbJqpLZS5dk6o2VcZQUFFQ9wqpcU086QVmmkbcTotalmmmZYtppUczdL29NSppIyyPZfMLY/pCfUkYriioCzDwMz794e/5iPhwgAXM8Djfrt5uznveV/X+3Vd857rNa+5rrnwM8YYAQAAAACAaufv7QAAAAAAAKirKLoBAAAAALAIRTcAAAAAABah6AYAAAAAwCIU3QAAAAAAWISiGwAAAAAAi1B0AwAAAABgEYpuAAAAAAAsQtGNM8rMzPR2CF6Xl5envLw8b4eBGsB8B1DdOK6QR+sT5nvdxOtaNRTdOK2tW7dq2LBhp3x+3bp16tmzZw1GdGYLFy7UqFGjJEkff/yxhg4dWuV1DhgwQLt3767UsuPGjdPcuXOrHENVnbhfapsff/yxRmJ/8803NWPGDPfjdu3a6T//+U+1rLs65sGECRM0derUSi1722236fXXX6/S+FUxd+5cjRs3rsbHHTVqlBYuXFjj4wJ/II8eRx71LvLocbU5j3rTmY5jOLNAbwcA33bs2DGVlJSc8vno6GitXLmyBiPyzNVXX62rr766yuvJzc2tejDweUeOHJExxtthWOKVV17xdghAvUQePY48Wj+QR+umMx3HcGac6a6D9uzZI5vNprfeektxcXGKiorSiy++qLS0NCUkJCgqKkpPPPGEu39eXp4mTpyouLg49erVS9OnT1dxcbH279+vsWPHqrCwUDabTdnZ2Ro1apS777Bhw/Tjjz/KZrO51/XVV1/p6quvls1mU2Jion744YeTxmiz2U76b926deX6ulwuzZ07V1dddZVsNpvi4uL04osvup/fu3evxowZI5vNpmuuuUY7d+50P/fBBx9o8ODB5f5/Yhw//vijJGnp0qXq16+funbtqiFDhuibb76RJPeHjZEjR+rjjz92973iiisUHR2tUaNGaceOHe51/vjjj7r66qsVGRmpu+++W/n5+Wd+0f7/5QYOHKg77rhDXbt21eeff67s7Gzdddddio+PV6dOnXTttddqw4YN7v6DBg3SM888o9jYWPXs2VMzZ86s0H45k9TUVF1++eWKiYnRiBEj9PPPP7uf+9e//qWBAwfKZrNp2LBh2rJliySpoKBA06ZNU1xcnGJjY3XvvffqwIEDp9y24uJiPfXUU4qPj1ePHj300EMPVerSww8++EBjxozRo48+qqioKF1++eX68ssvNWvWLMXExCguLk4ffvihu/+OHTuUlJSkrl27auDAgXrvvfckSZ9++qn++c9/6vvvv9egQYPc/VesWKGrrrpKkZGRGj9+vI4dOyZJKi0t1Zw5cxQfH69u3bppzJgx+u2339zLVXYeSKd/H+3bt0+33367O/7Vq1e7n1u1apWGDh2qLl266Morryyz3See8c3Pz9ekSZPUrVs3xcTEaOLEiSouLj7t/vmz7OzsU76Ps7OzT7rMsWPHlJycrG7duun666/X+vXr3c9t2bJFo0aNUnR0tPr166eFCxe6P7hNmDBB06ZN08033+zeJ6tWrarQdv+xTcOGDVO3bt00fvx47du3z/3cJ598osTERHXp0kXXXXedvv3229O9NKgnyKPk0TPtlzMhj5JHqzuP/vbbbxo5cqSio6PVt29fzZgxQ06nUzNmzNCDDz7o7pecnKwhQ4a4Hz/33HN6+OGHJUkbNmzQjTfeqOjoaCUmJmrFihXufp4cx1AJBnVOVlaWiYiIMJMmTTLFxcXm22+/NREREeaOO+4w+fn5ZsuWLaZDhw7mP//5jzHGmHHjxpl77rnHHD161OTk5Jibb77ZTJ8+3RhjzJo1a0xkZKR73SNHjjT9+/c3OTk55ujRo2We37Fjh7nsssvM559/bpxOp/nss89Mp06dzJEjR6q0PR999JHp27ev2bt3rzHGmJUrV5qIiAiza9cuY4wxN9xwg5kwYYKx2+1m69atJjY21owcOdIYY8z7779vBg0aVO7/f4iMjDRr1qwxOTk5pmPHjmbnzp3GGGOWLFlievXqZVwulzHGmIiICLN582ZjjDHp6emmR48eZsuWLcbhcJjFixebXr16mcLCQpOTk2NsNptZsmSJKSkpMcuWLTMRERFmzpw5Z9zONWvWmIiICLN48WJTXFxsioqKzK233mqmTp1qiouLjd1uNxMnTjQjRowo0//ZZ581DofDrF271lx66aVmw4YNZ9wvp/Of//zH9OjRw+zfv984nU4ze/ZsM3z4cGOMMT/88IOx2Wzmp59+Mk6n07z66qsmLi7OlJSUmPvuu88MHz7c7Nu3z+Tn55sJEyaYoUOHGqfTedJtmzZtmhkxYoQ5cOCAOXbsmLnvvvvMnXfeecp9c6rY33//fRMREWGWLFliXC6XeeaZZ0yHDh3MSy+9ZEpKSszrr79ubDabcblcJj8/38TFxZn58+cbh8Nhtm3bZnr37m2++OILY4wxc+bMMbfffrt73REREeZvf/ubycvLMzk5OWbAgAEmNTXVGGPMc889ZwYOHGj+97//meLiYvP888+bPn36mIKCgirNg9O9jx566CHTuXNn9/6fMWOGGTBggDHGmO3bt5uOHTuaf//736akpMSsW7fOREdHm6+++soYc/y9+8orrxhjjLnvvvvMLbfcYnJyckxeXp4ZMWKEefrpp8+4f6pizpw5JiIiwnz88cempKTEvP322yYqKsocOXLE5OTkmKioKJOammqKi4tNRkaG6dOnj3njjTeMMcY89NBDJjIy0mzatMkUFxebqVOnerTdsbGx5pdffjFFRUXmwQcfdL+Hvv/+e9OpUyfz/fffm9LSUvPll1+aTp06ma1bt1Z5e1G7kUfJo2faL6dDHiWPWpFHx40bZ+bMmWNcLpf5/fffTa9evcy3335r1qxZY3r27GmMMcbpdJrY2FjTqVMnk5eXZ4wx5uqrrzZffvmlyc7ONpGRkebjjz82paWlZs2aNSY6Otr88ssv7vVX9DgGz3Gmuw4bPXq0goKC3L8VGzlypBo2bKiOHTvq/PPPV3Z2tg4dOqSvv/5aDz/8sM466yw1a9ZMf//737V06dJTrjc+Pl7NmjXTWWedVab9008/Vbdu3dS/f3/5+/tr4MCBev311xUSElKl7UhISNDbb7+t8PBw7d+/X8YYNWjQQAcOHNCePXu0adMm/eMf/1BwcLA6dOigG264weMxgoODFRgYqPfee0+bN2/WkCFD9O2338rPz69c3yVLlmjUqFHq2LGjGjRooJtvvllhYWH65ptv9PXXXys8PFzDhg1TYGCgBg8erC5dungUy7XXXqugoCCFhIToySef1P333y9J+v3339W4cWPt37+/TP/x48erQYMG6tq1q1q0aKHMzMwq7ZdGjRrp2LFjWrJkiTIyMnTPPffo3XfflSQtW7ZMgwcPVnR0tPz9/XXzzTdrzpw5Ki4uVnp6uu6//36Fh4erYcOGeuSRR/TLL78oIyOj3LYFBwdr6dKluv/++3XeeeepUaNGmjBhglasWKHDhw97tL8k6ZxzztGwYcPk5+enHj16yBij2267TYGBgYqPj1dBQYHy8vL07bffKiwsTGPHjlWDBg3Uvn173XTTTVqyZMkp133nnXeqcePGatasmbp16+b+TeKHH36oO+64Q23btlVQUJCSk5NVUlKi1atXV2kenOl91LdvX/f+HzBggLKysiRJaWlpio6O1rXXXqvAwEBFRUVp+PDhev/998us3+FwKD09XSkpKWrWrJkaN26sZ599VjfccEOl9o8nunbtqsTERAUGBmrEiBE699xz9c033+jLL79U06ZNNW7cOAUFBemSSy7R2LFjy8Teu3dvde7cWUFBQRo8eLD7hi4V2e4RI0bo0ksvVUhIiO6//36tX79ee/fu1UcffaTBgwcrLi5OAQEBSkhIUEJCQrkz5ai/yKMVRx79P+TRssij1ZNHGzdurJUrV+qLL77QWWedpW+++Ua9e/dWVFSUiouLlZGRoa1bt+rCCy9Uhw4d9NNPP2n//v3avXu3evTooWXLlrnP/AcEBCgmJkZXXnmlli5dWqnjGDzDb7rrsKZNm0qSAgICJKlMcvf395fL5XJfInLiZUDS8Ut+Dh06dNL1nn/++SdtP3jwoC688MIybZ07dz5p3+jo6JO2p6amlnvO6XRq5syZ+uGHHxQeHq7LLrtM0vHL5Q4cOKDAwECde+657v4tWrRwXzpWUQ0bNtTrr7+u1NRUJSUlqUGDBrr11ls1bty4ch8YsrOzlZqaWua3PaWlpcrOzlZJSYkuuOCCMv1btGhR4ThCQ0PVuHFj9+Ndu3Zp1qxZys7O1l//+lc1bNiwzG+lwsLCFBYW5n7coEGDKu+XNm3a6KWXXtKiRYu0YMECNWnSRHfffbeGDRumgwcPlnl9AgICZLPZdODAAZWUlJTZ1oYNG6pp06bau3evwsLCymzb4cOHZbfbNXbs2DL7Nzg4WHv27FGzZs0qvM+k/5vr0vG5HRISoqCgIElyr9/lcun333/Xnj17ymyDy+U67Wt04uvRoEEDFRYWSpJycnJ00UUXlRn3wgsv1N69e5Wfn1/peXCm99HZZ59dJh6n0ynp+D49MR5Juuiii8pchi0dv3yspKSkzBh//P/zzz+v8P7Jzs4+5e88P/74YzVv3rxc+5/bLrjgAh08eFAul+uksZ94Cds555zj/n9gYKD7fVCR7T5x3PPOO0+BgYE6ePCgDh8+rKioqHLLVvZmT6h7yKMVRx79P+TRssij1ZNHH330Uc2dO1dPP/209u7dq169eunxxx9XeHi4evfurVWrVsnhcKh79+4KDAzUjz/+qJycHPXo0UMhISHKzs7W2rVry8TmdDoVExNTqeMYPEPRXc+Fh4fLz89P3377rRo2bChJKioq0oEDB3TOOeec9PdLJ/vWWjr+AfrPyeill17SFVdcob/85S9l2k/2m7NTee6551RYWKjvvvtOISEhKi4udp+JCg8PV2lpqfbv36/w8HBJKvcN9h/8/f3L3ASiuLhYRUVFko7f4MXhcOjll19WaWmpVq1apbvuuks2m00xMTFl1hMeHq6bbrpJN910k7tt165dOu+889y/HzvR/v371apVqwpt64n7tqSkRHfffbceffRRXXPNNZKk9957T9u3bz/jejzZL3+2f/9+nX322Vq4cKGKi4v12Wef6cEHH1RsbKwuuOCCMr+HNcbo6aef1pgxYxQUFKQ9e/a4k2R+fr6OHDmic889V4WFhWW2rWnTpgoKCtK7776rSy65RNLxA3tmZqZat25doThPdKo5+Wfh4eFq3759mW+tc3JyVFpa6vGYzZs3L5NY//jwfe6556phw4aVngenex+dzoUXXqg1a9aUacvKytJ5551Xpu2cc85RgwYNtG/fPvfc2Lx5szZt2uTR/mnevLlH72Pp+AehE/3++++66KKLVFpaqt9///2MsZ9MRbb7xHH37dun0tJSXXTRRbrwwgu1Z8+ecsue+CEbOBPyKHn0z8ijFUMe9SyPbtu2TXfddZcmTpyozMxMPfLII3r++ec1c+ZM9enTR//+979ljNHo0aMVEBCgGTNmaM+ePerXr5+k469dQkKC5syZ417nvn37FBQUpJKSEo+PY/AMl5fXc+Hh4e4bh+Tn56uwsFCPPfaYkpOT5efnp+DgYJWUlMhut59xXVdddZV++uknff3113K5XPriiy/02muvlfn2tDKOHj2qoKAg+fv7Kz8/X9OnT5fL5VJJSYkuuugixcTE6KmnnlJhYaF27NhxyhtWtG3bVllZWdqwYYNKSkr08ssvu587fPiwRo8erTVr1igwMNB9gG3SpIkkKSgoyH0Dj+uvv16LFi3S9u3bZYzRihUrNHjwYP3222/q06ePcnNztXjxYpWWlmrFihVau3Ztpbbb4XDIbre7L4f69ddf9eqrr8rhcJxxWU/2y5/t2LFDt912m/773/8qODhYTZs2VYMGDdSwYUNdc801SktL06ZNm+RyufTGG29o+fLlatKkia699lo988wz2r9/vwoKCjR9+nRdfPHF7jMqJ/L399d1112nZ599VocPH5bD4dDs2bN18803VypxV1R8fLz27dunpUuXqrS0VPv27VNSUpIWLFgg6fgZgoreqGXIkCGaN2+efvvtNzkcDr3wwgsyxiguLq5K86Cy76PBgwdr06ZN+vDDD1VaWqr169dr6dKl7g+af/D391diYqLmzJnj/ru5s2bN0sGDB8+4f6pq7dq1+vzzz1VSUqLXXntNRUVFuvzyy92XLv7zn/+Uw+HQ9u3btXDhwnKxV3a733nnHW3fvl0FBQWaMWOG+vTpo3POOUfXXXedPvnkE/3www9yOp366quv3DffASqKPHocefT/kEfJo1bk0WeffVbPP/+8HA6Hzj33XAUEBLjfX71799bGjRu1ZcsWRUVFqUuXLsrMzNTq1asVHx/v3r5Vq1bpm2++kcvl0o4dO3TDDTfo448/rtbjGE6OohuaNWuWHA6HrrjiCl1++eXKy8tzJ9KIiAhddtll6t69u7Zu3Xra9bRp00Zz587VCy+8oOjoaL388suaN2+ex5c4/dkfd+/847cnDRo0UGRkpPub6tmzZ8tut6tnz566++673d/o/Vnnzp2VlJSk5ORk9e7dW35+fvrrX/8qSbr44os1bdo0PfbYY7LZbLrrrrv08MMPq127dpKkoUOHavz48Xrrrbc0ePBgjR49Wvfcc4+6dOmi559/Xk8//bQuu+wyNWnSRAsWLNDHH3+sqKgovfnmm7r88ssrtd0NGzbU448/rieffFJdunTR/fffr+HDh+vw4cMV+r1WRffLn/Xs2VPjx4/XHXfcocjISM2YMUOzZ892/xZr8uTJmjhxoqKjo5Wenq758+crMDBQEyZMUMeOHTV06FD17t1bR48e1YIFC0757fnEiRPVsmVLXXfdderevbt+/vlnvfLKK1X+7eLpNG7cWAsXLlRaWpp69OihIUOGKCoqyn3Xz/j4eGVlZSkuLu6Mf/JkzJgxGjRokMaMGaOYmBht2rRJr732mho1alSleVDZ91HLli2VmpqqN998U127dtXEiRP1j3/8Q1dddVW5vg8//LCaN2+uQYMGaeDAgfrrX/+qe+6554z7p6ri4uL0zjvvqFu3bkpPT9crr7yihg0bqnHjxnrllVf0ww8/qEePHrrttts0dOhQjRkz5ozrrMh29+3bV8nJyYqPj5e/v7/7b8hGRUVpxowZeuqppxQdHa3nn39ezz77rCIjI6tle1F/kEfJoycij5JHrcijTz/9tHbt2qUePXooPj5e55xzju6++25Jx1+Xjh07KiIiQqGhoQoODlZkZKQ6dOjg3u6WLVvq5Zdf1ssvv6xu3bpp9OjRGjp0qG655RZJ1Xccw8n5mTO9I4Ba7P3339fixYvdf6IEtdOPP/6oF198UW+88Ya3QwGAeoU8WjeQRwHv4kw36qyioiLt2LGjzA2YAABAxZBHAaB6cCM11Fn33HOPtm7d6r6U1NuSk5P1/fffn/L57777rtyfj7HC66+/rueff/6Uzz/33HPq06eP5XHUV74yDwDgTMijJ0ce9S5fmQeAJ7i8HAAAAAAAi3B5OQAAAAAAFqHoBgAAAADAIhTdAAAAAABYhKIbAAAAAACL+FzRvX79eiUmJioyMlJJSUk6dOhQmeezs7Nls9nK/Gvfvr1SU1M9GsflcqmwsFAul6s6wwcAoM4hZwIAUHk+VXTb7XYlJycrOTlZa9euVevWrTVz5swyfZo3b66NGze6/7300ku66KKLNGLECI/H2rZtm+x2e3VuAgAAdQ45EwCAyvOponv16tUKDw9X//79FRQUpJSUFKWnp6uwsPCk/R0Ohx555BE99thjOvvss2s4WgAAAAAATi/Q2wGcKDMzU23atHE/btKkicLCwrR79261b9++XP933nlHbdu2Ve/evSs9ptPplNPprPTyAADUJgEBAZVelpwJAKhPqpIzT+RTRXdhYaGCg4PLtIWGhp70cjaXy6XXX39dTz75ZJXGzMjIqNLyAADUJlFRUZVelpwJAKhPqpIzT+RTRXdoaKgcDkeZtqKiIoWFhZXru2HDBklSTExMlcaMiIg46foBAEBZ5EwAADznU0V327ZtlZaW5n6cm5urgoICtWrVqlzf77//Xv369avymAEBAdV22QAAAHUZORMAAM/51I3UYmNjtXfvXi1fvlwOh0OzZ89WQkKCQkJCyvXdsmWLLrvsMi9ECQAAAABAxfhU0R0SEqJ58+YpNTVVMTExysrK0pQpU9x/mzs7O9vdd+/evTr33HO9GC0AAAAAAKfnZ4wx3g7CGwoLC7Vt2zZ16NCB36cBAHAa5EwAACrPp850AwAAAABQl1B0AwAAAABgEYpuAAAAAAAsQtENAAAAAIBFKLoBAAAAALAIRTcAAAAAABah6AYAAAAAwCIU3QAAAAAAWISiGwAAAAAAi1B0AwAAAABgEYpuAAAAAAAsQtENAAAAAIBFKLoBAAAAALAIRTcAAAAAABah6AYAAAAAwCIU3QAAAAAAWISiGwAAAAAAi1B0AwAAAABgEYpuAAAAAAAs4nNF9/r165WYmKjIyEglJSXp0KFD5frY7XY9+uij6tmzp3r37q2lS5d6IVIAAAAAAE7Pp4puu92u5ORkJScna+3atWrdurVmzpxZrt/06dOVm5urFStWaMGCBXrqqae0a9eumg8YAAAAAIDT8Kmie/Xq1QoPD1f//v0VFBSklJQUpaenq7Cw0N3H4XBo2bJlmjx5skJDQ9WuXTu99957Ovfcc70YOQAAAAAA5QV6O4ATZWZmqk2bNu7HTZo0UVhYmHbv3q327dtLknbt2qVGjRopLS1NixYtUkhIiFJSUvSXv/ylUmM6nU45nc7qCB8AAJ8XEBBQ6WXJmQCA+qQqOfNEPlV0FxYWKjg4uExbaGio7Ha7+/HRo0d1+PBh/fbbb0pPT9fWrVs1duxYtWvXThdffLHHY2ZkZFQ5bgAAaouoqKhKL0vOBADUJ1XJmSfyqaI7NDRUDoejTFtRUZHCwsLcj4OCguR0OpWSkqKQkBB16dJFPXr00MqVKytVdEdERJRZPwAAODlyJgAAnvOportt27ZKS0tzP87NzVVBQYFatWrlbmvVqpX8/Px07NgxNWvWTJJUWloqY0ylxgwICKi2ywYAAKjLyJkAAHjOp26kFhsbq71792r58uVyOByaPXu2EhISFBIS4u7TpEkT9e7dW7Nnz1ZxcbHWr1+vNWvWqE+fPl6MHAAAAACA8nyq6A4JCdG8efOUmpqqmJgYZWVlacqUKcrOzpbNZlN2drYkadasWfLz81Pv3r31wAMPaPr06WrZsqWXowcAAAAAoCw/U9nrsmu5wsJCbdu2TR06dOD3aQAAnAY5EwCAyvOpM90AAAAAANQlFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAIv4XNG9fv16JSYmKjIyUklJSTp06FC5Pp988ok6duwom83m/nfkyBEvRAsAAAAAwKn5VNFtt9uVnJys5ORkrV27Vq1bt9bMmTPL9fv11191++23a+PGje5/TZs29ULEAAAAAACcmk8V3atXr1Z4eLj69++voKAgpaSkKD09XYWFhWX6/frrr4qIiPBSlAAAAAAAVIxPFd2ZmZlq06aN+3GTJk0UFham3bt3l+n366+/6l//+pd69uypxMREff311zUcKQAAAAAAZxbo7QBOVFhYqODg4DJtoaGhstvt7scOh0MtW7bUsGHDlJCQoNWrV+vvf/+7PvjggzIFe0U5nU45nc6qhg4AQK0QEBBQ6WXJmQCA+qQqOfNEPlV0h4aGyuFwlGkrKipSWFiY+3FQUJDeeOMN9+PLL79c3bp108qVKytVdGdkZFQ6XgAAapuoqKhKL0vOBADUJ1XJmSfyqaK7bdu2SktLcz/Ozc1VQUGBWrVq5W7bv3+/3nnnHaWkpLjbSkpKFBQUVKkxIyIiyhT1AADg5MiZAAB4zqeK7tjYWE2aNEnLly9X3759NXv2bCUkJCgkJMTd56yzztI777yjFi1aaMiQIfryyy+1efNmzZo1q1JjBgQEVNtlAwAA1GXkTAAAPOdTN1ILCQnRvHnzlJqaqpiYGGVlZWnKlCnKzs6WzWZTdna2wsLC9PLLL+vtt99WVFSU5syZoxdffFHNmjXzdvgAAAAAAJThZ4wx3g7CGwoLC7Vt2zZ16NCBS+UAADgNciYAAJXnU2e6AQAAAACoSyi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6K8lVWurtEGpUfdteAAAAAKgOgd4OoLbyDwzUuskpctqLvB2K5QJCQhU9bba3wwAAAACAWoeiuwqc9iI57XZvhwEAAAAA8FE+d3n5+vXrlZiYqMjISCUlJenQoUOn7HvkyBH16NFDP/74Yw1GCAC1Q336WUh92lYAAFC7+NSZbrvdruTkZE2ZMkWXX365nnzySc2cOVPPPPPMSfs/8cQTOnLkSA1HCQC1Q335GQw/gQEAAL7Mp4ru1atXKzw8XP3795ckpaSkqFevXpo6darCwsLK9P3qq6+Un5+vFi1aeCNUAKgV+BkMAACAd/lU0Z2Zmak2bdq4Hzdp0kRhYWHavXu32rdv724/evSoZs2apddee02jRo2q0phOp1NOp9Pj5QICAqo0bm1Umf0EwHvq23GKY1TFVGVeVDZnAgBQG1XXZymfKroLCwsVHBxcpi00NFT2P52lmTFjhkaNGqULLrigymNmZGR4vIy/v79sNluVx65tNm/eLJfL5e0wAFRAfTxOcYyqmKioqEovW5mcCQBAbVWVnHkinyq6Q0ND5XA4yrQVFRWVubT8+++/1+7du/Xkk09Wy5gRERHlLl3HyXXq1MnbIQDAKXGMsh45EwAAz/lU0d22bVulpaW5H+fm5qqgoECtWrVyt33++efaunWrunbtKkkqKCjQ+PHjNXXqVCUmJno8ZkBAQL27BLOy2E8AfBnHKOuRMwEA8JxP/cmw2NhY7d27V8uXL5fD4dDs2bOVkJCgkJAQd59p06Zp48aNWrdundatW6cWLVooNTW1UgU3AAAAAABW8qmiOyQkRPPmzVNqaqpiYmKUlZWlKVOmKDs7WzabTdnZ2d4OEQAAAACACvOpy8slqXPnzvroo4/KtW/cuPGk/b/44gurQwIAAAAAoFJ86kw3AAAAAAB1CUU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARTwuuouLi5Wenq7XXntNRUVF2rp1qxVxAQAAAABQ6wV60nnnzp0aPXq0wsLCtG/fPiUkJOiGG27Qs88+q4EDB1oVIwAAAAAAtZJHZ7qnTp2qsWPHavny5QoMDFTr1q01e/Zsvfjii1bFBwAAAABAreVR0b1t2zaNGDFCkuTn5ydJ6tevn7Kzs6stoPXr1ysxMVGRkZFKSkrSoUOHyvX5+eefNWTIENlsNl111VX65ptvqm18AAAAAACqi0dF9znnnKPt27eXaduxY4fOP//8agnGbrcrOTlZycnJWrt2rVq3bq2ZM2eW6eNyuXTvvffq1ltv1caNG/XII48oJSVFRUVF1RIDAAAAAADVxaOie/To0brttts0f/58lZSU6O2339Zdd92lW2+9tVqCWb16tcLDw9W/f38FBQUpJSVF6enpKiws/L+A/f316aef6uqrr5bT6dSRI0fUqFEjBQQEVEsMAAAAAABUF49upDZs2DCdffbZWrp0qZo3b64VK1YoOTlZgwYNqpZgMjMz1aZNG/fjJk2aKCwsTLt371b79u3d7WFhYSotLVVkZKRKS0v1xBNPKCgoqFJjOp1OOZ1Oj5erj0V+ZfYTAO+pb8cpjlEVU5V5UdmcCQBAbVRdn6U8KrolacCAARowYEC1DP5nhYWFCg4OLtMWGhoqu91erm9AQIA2bNigDRs2aPz48fp//+//qV27dh6PmZGR4fEy/v7+stlsHi9X223evFkul8vbYQCogPp4nOIYVTFRUVGVXrYyORMAgNqqKjnzRB4V3RMnTjzlczNmzKhyMKGhoXI4HGXaioqKFBYWVq6vn5+fgoKCFBsbq7i4OK1cubJSRXdERMRJ14/yOnXq5O0QAOCUOEZZj5wJAIDnPCq6/5xoc3Nz9d133+n666+vlmDatm2rtLS0MusvKChQq1at3G1HjhzR8OHDtWzZMvdZcYfDobPOOqtSYwYEBNS7SzAri/0EwJdxjLIeORMAAM95VHRPnjy5XNumTZs0d+7cagkmNjZWkyZN0vLly9W3b1/Nnj1bCQkJCgkJcfdp2rSpzj77bKWmpuruu+/WDz/8oJ9//lnTp0+vlhgAb3GVlso/0ONffNRa9W17AQAAUD9V+RNv586dtWnTpmoIRQoJCdG8efP06KOPatKkSerSpYtmzZql7OxsDRo0SJ988omaN2+u5557TpMnT1ZMTIxatWqlefPm6bzzzquWGABv8Q8M1LrJKXLa6/6fvwsICVX0tNneDgMAAACwnEdF9y+//FLmcUlJiZYtW6aWLVtWW0CdO3fWRx99VK5948aN7v+3bNlSixYtqrYxAV/htBfJeZIbBwIAAAConTwquv/8221/f3+1adPmpJedAwAAAABQ33lUdP/3v/+1Kg4AAAAAAOqcChXdf76s/GQ6duxY5WAAAAAAAKhLKlR0n+lPgvn5+Wnbtm3VEhAAAAAAAHVFhYpuLisHAAAAAMBzHv/JsKKiIuXl5cnlckk6fgfz7du3q1+/ftUeHAAAAAAAtZlHRffSpUv1xBNPyOFwlGlv3rw5RTcAAAAAAH/iUdE9b948TZ48WcHBwVq1apXGjRunp59+WpdeeqlV8QEAAAAAUGv5e9L5yJEjGjp0qKKjo5WRkaE2bdpo2rRp+uCDD6yKDwAAAACAWsujovv888/XsWPHdMEFF2jPnj1yuVxq1qyZcnNzLQoPAAAAAIDay6PLy+Pi4jR27FjNmzdPNptN06ZNU1BQkFq0aGFVfAAAAAAA1Foenenu0aOHevXqpYCAAD366KPKysrSpk2b9MQTT1gVHwAAAAAAtZZHZ7qnT58uu92uvLw8DRkyRK+88opVcQEAAAAAUOt5dKb7q6++0pw5c2S323XLLbfommuu0eLFi3X48GGr4gMAAAAAoNbyqOiWpOjoaE2dOlU//PCDxo8fr8WLF6t3795WxAYAAAAAQK3m0eXlkuRyubRy5UotW7ZMX375pSIiInTHHXdYERsAAAAAALWaR0X3tGnT9Nlnnyk4OFiJiYn64IMP1Lp1a6tiAwAAAACgVvOo6M7Ly9OsWbPUvXt3+fn5WRUTAAAAAAB1gkdF9zPPPGNVHAAAAAAA1Dke30gNAAAAAABUjM8V3evXr1diYqIiIyOVlJSkQ4cOleuzdetW3XjjjYqKitKVV16pFStWeCFSAAAAAABOz6eKbrvdruTkZCUnJ2vt2rVq3bq1Zs6cWaaP0+nUXXfdpeuvv14//fSTHnvsMT300EP6/fffvRQ1AAAAAAAn51NF9+rVqxUeHq7+/fsrKChIKSkpSk9PV2FhobvPoUOHdNlll2nYsGHy9/dXbGysWrdurW3btnkxcgAAAAAAyvP473RbKTMzU23atHE/btKkicLCwrR79261b99ekhQeHq65c+e6+2RnZ2vnzp1q165dpcZ0Op1yOp0eLxcQEFCp8WqzyuwnVBxzCtWtvs0p5lPFVGVeVDZnAgBQG1XXZymfKroLCwsVHBxcpi00NFR2u/2k/fPy8nTnnXdq+PDhatmyZaXGzMjI8HgZf39/2Wy2So1Xm23evFkul8vbYdRJzClUt/o4p5hPFRMVFVXpZSuTMwEAqK2qkjNP5FNFd2hoqBwOR5m2oqIihYWFleubnZ2t2267TZ07d9aECRMqPWZERMRJ14/yOnXq5O0QUMcwp1CdmE/WI2cCAOA5nyq627Ztq7S0NPfj3NxcFRQUqFWrVmX6/e9//9Mtt9yia665Rvfff3+VxgwICKh3l2BWFvsJ1Y05herEfLIeORMAAM/51I3UYmNjtXfvXi1fvlwOh0OzZ89WQkKCQkJC3H2Ki4s1fvx4DR8+vMoFNwAAAAAAVvKpojskJETz5s1TamqqYmJilJWVpSlTpig7O1s2m03Z2dn68ssvlZmZqYULF8pms7n/ffrpp94OHwAAAACAMnzq8nJJ6ty5sz766KNy7Rs3bpQkNW/eXFdddVVNhwUAAAAAgMd86kw3AAAAAAB1CUU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiPld0r1+/XomJiYqMjFRSUpIOHTp0yr4bN27UFVdcUYPRAQAAAABQcT5VdNvtdiUnJys5OVlr165V69atNXPmzJP2/eSTT3T77bfL6XTWcJQAAAAAAFSMTxXdq1evVnh4uPr376+goCClpKQoPT1dhYWFZfp98sknmjt3ru644w4vRQoAAAAAwJkFejuAE2VmZqpNmzbux02aNFFYWJh2796t9u3bu9u7d++uK664QuvWravymE6ns1JnywMCAqo8dm3DVQXWYk6hutW3OcV8qpiqzIvK5kwAAGqj6vos5VNFd2FhoYKDg8u0hYaGym63l2lr1qxZtY2ZkZHh8TL+/v6y2WzVFkNtsXnzZrlcLm+HUScxp1Dd6uOcYj5VTFRUVKWXrUzOBACgtqpKzjyRTxXdoaGhcjgcZdqKiooUFhZm2ZgRERGWrr8u6dSpk7dDQB3DnEJ1Yj5Zj5wJAIDnfKrobtu2rdLS0tyPc3NzVVBQoFatWlk2ZkBAQL27BLOy2E+obswpVCfmk/XImQAAeM6nbqQWGxurvXv3avny5XI4HJo9e7YSEhIUEhLi7dAAAAAAAPCYTxXdISEhmjdvnlJTUxUTE6OsrCxNmTJF2dnZstlsys7O9naIAAAAAABUmE9dXi5JnTt31kcffVSufePGjeXaYmJi9MUXX9REWAAAAAAAeMynznQDAAAAAFCXUHQDAAAAAGARim4AAAAAACxC0Q0AAAAAgEUougEAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTdAAAAAABYhKIbAAAAAACLUHQDAAAAAGARim4AAAAAACxC0Q0AAAAAgEUougEAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTdAAAAAABYhKIbAAAAAACLUHQDAAAAAGARim4AAAAAACzic0X3+vXrlZiYqMjISCUlJenQoUPl+hw8eFBJSUmy2WwaNGiQNm7c6IVIAQAAAAA4PZ8quu12u5KTk5WcnKy1a9eqdevWmjlzZrl+kydPVvv27fXjjz/q9ttv13333Sen0+mFiAEAAAAAODWfKrpXr16t8PBw9e/fX0FBQUpJSVF6eroKCwvdffLz8/X999/rzjvvVFBQkK655hqdddZZWrNmjRcjBwAAAACgPJ8qujMzM9WmTRv34yZNmigsLEy7d+92t+3evVtNmzbVWWed5W5r06aNdu7cWZOhAgAAAKgjXKWl3g6hxtSnbfUVgd4O4ESFhYUKDg4u0xYaGiq73X7aPiEhIWX6eMLpdFbq0vSAgAAFhIRWasza5o/t5BJ+azGnUN3qy5xiPnkmICCg0stWNmf6GZf8AxtUetzaxlVaIuPnU+c1AJxBQGCgNj4xQc7iytUUtUVAcIhsj8wkZ1ZQVXLmiXyq6A4NDZXD4SjTVlRUpLCwsDJ9iouLy/Sx2+1l+ngiIyPD42X8/Px02aWXKnra7EqNWRuVlDrVILB6Jp2vsxc7tPWXLTLG1NiYzKm6jTllvfo0n6SqzamoqKhKj1uVnBlUj4pup/zVoJo+qPk6bx7fgkJCamxMb6tPxzhvzinbI+XvJVUX1af5JHkvZ57Ip4rutm3bKi0tzf04NzdXBQUFatWqlbutdevWys3NVX5+vho1aiRJ+u2333TjjTdWasyIiIhKF+z16RuiBoEBuv2VFSpy1O3LUUKDAjX/tn7q3LmzV8ZnTtU9zKmaUV/mk+TdOUXOrJgGgQG6d/E3Kiqp2/MxtEGgXrgl3itzMSAgQOsmp8hpL6rxsWtag7ObqMsjTzGnakB9Ok7VJwEBAV6bU3/wqaI7NjZWkyZN0vLly9W3b1/Nnj1bCQkJCjnhm8xGjRqpZ8+emjNnju6//3599tlnys3NVXR0dKXGDAgIqLbLBuq6IkdpvfhAK1XfpSQ4PeYUqlN9mk+Sd+YUObNiSpwuvXBLvLfDqBElTle9OavvLcbpZE6hWtW3vesLZ/V9qugOCQnRvHnz9Oijj2rSpEnq0qWLZs2apezsbA0aNEiffPKJmjdvrieeeEIPP/ywunfvrosuukgvvfSSgoKCvB0+AACAGgTUn99ze2tbXaWl9ebnM9IfN76qH/OqPr1/UH/4VNEtSZ07d9ZHH31Urn3jxo3u/5933nmaP39+TYYFAAAAH+Ef6HMfYS1V37YXqGt4BwPwmtCgun8Iqg/bCAAAgFPj0yAAryhxujT/tn7eDqNGHP99GpfLAQAA1EcU3QC8oj4VofVpW72pvlxVUF+2EwCAuoLMDQCo9erTlRMSV08AAFCbkLEBALVefStA69v2AgBQm3GmGxVWHy5prA/bCAAAAKDmUGGgQurTpZtctgkAAACgulBZoELqUxFan7YVAAAAgLWoLgAAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTdAAAAAABYhKIbAAAAAACLUHQDAAAAAGARim4AAAAAACxC0Q0AAAAAgEUougEAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTdAAAAAABYxKeK7p07d+qGG25QZGSkhg0bpv/973+n7b97925169athqIDAAAAAMAzPlN0G2P097//XYMGDdLatWvVr18/Pfzww6fsv2rVKo0aNUr5+fk1GCUAAAAAABXnM0X39u3btX//ft18880KCgrS2LFjtXPnTu3atatc302bNmnixIm68847az5QAAAAAAAqKNDbAfwhMzNTbdq0kZ+fnyTJ399fLVq00M6dO9WmTZsyfS+++GJ9/vnnOnjwYJXHdTqdcjqdVV4PAAC1QUBAQKWXJWcCAOqTquTME9V40f3dd99p7Nix5dpbtWqlCy+8sExbaGio7HZ7ub6NGzeutngyMjKqbV0AAPi6qKioSi9LzgQA1CdVyZknqvGiu3fv3vr111/LtX/++ed69dVXy7QVFRUpLCzM0ngiIiIsHwMAgLqAnAkAgOd85vLytm3bKjMzU8YY+fn5yeVyKSsrSxdffLGl4wYEBFTbZQMAANRl5EwAADznMzdSu+SSS3Tuuedq0aJFcjgcWrBggVq2bKnWrVt7OzQAAAAAACrFZ4puSZozZ44+//xzxcTE6Ouvv9bzzz/vfs5ms2ndunVejA4AAAAAAM/4GWOMt4PwhsLCQm3btk0dOnTg92kAAJwGORMAgMrzqTPdAAAAAADUJRTdAAAAAABYhKIbAAAAAACLUHQDAAAAAGARim4AAAAAACxC0Q0AAAAAgEUougEAAAAAsAhFNwAAAAAAFgn0dgDe4nK5JElFRUVejgQAgJoVEhIif/+Kf+9OzgQA1Fee5syTqbdFd3FxsSRp165d3g0EAIAa1qFDB4WFhVW4PzkTAFBfeZozT8bPGGOqKZ5apbS0VHl5eQoODq7yNxcAANQmnn5rT84EANRX1XGmu94W3QAAAAAAWI2vqwEAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTdAAAAAABYhKIbAAAAAACLUHQDAAAAAGARim4AAAAAACxC0Q0AAAAAgEUougEAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTddUxmZqa3Q/C6vLw85eXleTsMj/C61W12u10HDhzwdhgAKoDjMXkUvoc8WndlZWV5O4QaQdFdh2zdulXDhg075fPr1q1Tz549azCiM1u4cKFGjRolSfr44481dOjQKq9zwIAB2r17d6WWHTdunObOnVvlGDxxptfNE6NGjdLChQvP2M+Tff3JJ58oJiZGXbt21datW6saok+ZMGGCPvjgA8vH+dvf/qYNGzZIkj744AMNHjy4WtZ7+PBhtWvXTnv27KnSetq1a6f//Oc/Hi+XnZ0tm82mI0eOVGn8qkhISNBnn31Wo2Pu2bNH7dq10+HDh2t0XFiPPHoceZQ8WlHk0eNqcx71pqeeekqvvfaat8OoEYHeDgDV59ixYyopKTnl89HR0Vq5cmUNRuSZq6++WldffXWV15Obm1v1YGrQmV43K3iyr//1r3/p+uuv14MPPmhxVHVXbZuTFdW8eXNt3LjR22EA1YY8elxtO2aRR+u+2jYnK6q+59EjR44oLCzM22HUCM50e9mePXtks9n01ltvKS4uTlFRUXrxxReVlpamhIQERUVF6YknnnD3z8vL08SJExUXF6devXpp+vTpKi4u1v79+zV27FgVFhbKZrMpOztbo0aNcvcdNmyYfvzxR9lsNve6vvrqK1199dWy2WxKTEzUDz/8cNIYbTbbSf+tW7euXF+Xy6W5c+fqqquuks1mU1xcnF588UX383v37tWYMWNks9l0zTXXaOfOne7nTvzm8mTfYtpsNv3444+SpKVLl6pfv37q2rWrhgwZom+++UaS3Alw5MiR+vjjj919r7jiCkVHR2vUqFHasWOHe50//vijrr76akVGRuruu+9Wfn7+mV+0/3+5QYMG6YUXXlBMTIxiY2O1ZMkSLVq0SHFxcerWrZsWLFjg7v/nb0CnTp2qCRMmnPJ1O/Fb9s8++0wJCQnux2+99ZauvvpqRUdHKyYmRlOmTJExpkJx/+HP+zopKUmTJk1SdHS04uPj9eqrr0qSbr75Zq1Zs0avv/66brrpJknSqlWrNHToUHXp0kVXXnmlPvzwwwqNefjwYd1+++3q1q2b4uPjNWHCBBUVFUmS8vPzNWnSJHXr1k0xMTGaOHGiiouLJUlbtmzRqFGjFB0drX79+mnhwoXu7Z0wYYL+/ve/q2/fvkpISFBxcbF27NihpKQkde3aVQMHDtR7773n0b75w6hRo/TSSy9pyJAhioyM1KhRo9yx2Gw2DRs2TL///ru7/6nm2fjx45Wdna0HH3xQqampkiSHw6GpU6eqZ8+e6tGjhxYtWuReT2ZmpsaPH6+YmBjFx8frmWeekcPhkHT8/TVnzhx1795d3bt319tvv13h7XE4HHrqqafUs2dPde3aVXfddVeZb9ZXrFihq666SpGRkRo/fryOHTsmSSotLdWcOXMUHx+vbt26acyYMfrtt98klT/ju3HjRg0fPlw2m039+/d3vwdPt3/+LDU19aTHm9tuu+2U27Z+/XoNHjxYsbGxeuCBB3T06FH3c2+88YYGDBigqKgojRgxQj///LP7uXbt2umNN95Q3759FR0drfHjx7uXPd12/+Htt9/W5Zdfrvj4eL300ktyuVySpIKCAk2bNk1xcXGKjY3Vvffey2WRFiKPkkfJo+RR8uj/8TSPnuxY4HK51L17d61evVrS8fnVsWNHvfnmm+7levfurXXr1snpdGr+/Pnq16+fYmJidMcdd2jfvn3ufhs2bNCNN96o6OhoJSYmasWKFZKkBQsWaNmyZVqyZMlpc3ydYeBVWVlZJiIiwkyaNMkUFxebb7/91kRERJg77rjD5Ofnmy1btpgOHTqY//znP8YYY8aNG2fuuecec/ToUZOTk2NuvvlmM336dGOMMWvWrDGRkZHudY8cOdL079/f5OTkmKNHj5Z5fseOHeayyy4zn3/+uXE6neazzz4znTp1MkeOHKnS9nz00Uemb9++Zu/evcYYY1auXGkiIiLMrl27jDHG3HDDDWbChAnGbrebrVu3mtjYWDNy5EhjjDHvv/++GTRoULn//yEyMtKsWbPG5OTkmI4dO5qdO3caY4xZsmSJ6dWrl3G5XMYYYyIiIszmzZuNMcakp6ebHj16mC1bthiHw2EWL15sevXqZQoLC01OTo6x2WxmyZIlpqSkxCxbtsxERESYOXPmnHE716xZYyIiIswLL7xgSktLzdtvv206dOhgJk+ebIqLi82KFStM+/btTU5OTrmYjDHm8ccfNw899JB7XX9+3V555RX34+XLl5s+ffoYY4xZt26d6dq1q8nIyDDGGLNt2zbTqVMns2rVqpMueyp/3tcRERHmrbfeMiUlJSYtLc20b9/e/RqeuM7t27ebjh07mn//+9+mpKTErFu3zkRHR5uvvvrqjGNOnTrVTJw40ZSUlJgjR46YxMRE88477xhjjLnvvvvMLbfcYnJyckxeXp4ZMWKEefrpp01OTo6Jiooyqamppri42GRkZJg+ffqYN954wxhjzEMPPWS6du1qdu/ebY4ePWry8/NNXFycmT9/vnE4HGbbtm2md+/e5osvvjhpTA899JB5//33T/rcyJEjTXx8vNm9e7c5duyYGTBggOnWrZvZtm2bKSwsNCNGjDBTp041xpx+nhljTJ8+fczy5cvL7O/XXnvNOJ1O88UXX5h27dqZffv2meLiYpOQkGCmTJliCgsLze+//26uu+46M3PmTGOMMe+8846Jj483//vf/8yxY8fMXXfdZSIiIkxWVtYZ9/9zzz1nEhMTTVZWlikqKjLJycnm3nvvNcYcn59/+9vfTF5ensnJyTEDBgwwqamp7uUGDhxo/ve//5ni4mLz/PPPmz59+piCggL38SsnJ8f9Wr3xxhvuudGpUyeTkZFxxv1TFX369DEDBgwwu3fvNnl5eSYpKcncf//9xhhj3nvvPdO9e3fz888/m5KSEvPuu++aLl26mH379rm3e/To0SY3N9fs27fPJCQkeLTdd999tzl27JjZuXOn6d27t1myZIkx5vh8Hj58uNm3b5/Jz883EyZMMEOHDjVOp7PK24vyyKPkUfIoeZQ8WjmnOxY89NBD5plnnjHGGPPFF1+YTp06mbvvvtsYY9zHHqfTaV599VVzxRVXmF27dhm73W6eeuopc9111xmn02mys7NNZGSk+fjjj01paalZs2aNiY6ONr/88osx5vj8efzxx6u0DbUFZ7p9xOjRoxUUFOT+rdjIkSPVsGFDdezYUeeff76ys7N16NAhff3113r44Yd11llnqVmzZvr73/+upUuXnnK98fHxatasmc4666wy7Z9++qm6deum/v37y9/fXwMHDtTrr7+ukJCQKm1HQkKC3n77bYWHh2v//v0yxqhBgwY6cOCA9uzZo02bNukf//iHgoOD1aFDB91www0ejxEcHKzAwEC999572rx5s4YMGaJvv/1Wfn5+5fouWbJEo0aNUseOHdWgQQPdfPPNCgsL0zfffKOvv/5a4eHhGjZsmAIDAzV48GB16dKlwnH4+flp7NixCggIUM+ePeV0OjVmzBgFBQWpT58+crlc2rt3r8fbdzqXXnqpPvzwQ11yySU6fPiwjh07prPOOkv79++v0nqbNWumv/3tbwoMDNSgQYMUGBh40htbpKWlKTo6Wtdee60CAwMVFRWl4cOH6/333z/jGI0bN9bGjRv16aefyuVy6cMPP9SNN94oh8Oh9PR0paSkqFmzZmrcuLGeffZZ3XDDDfryyy/VtGlTjRs3TkFBQbrkkks0duzYMuN17dpVLVu21FlnnaVvv/1WYWFhGjt2rBo0aKD27dvrpptu0pIlSyq1X6666iq1bNlSjRo1UqdOndSrVy+1b99eoaGhiomJcX9Df7p5djLnnXeebr31Vvn7+6tfv37u/b1+/Xrl5ORo4sSJCg0NVfPmzZWSkuLe3rS0NI0YMUJt27ZVo0aN9MADD1R4W5YtW6Zx48apRYsWCgkJ0WOPPaY777zT/fydd96pxo0bq1mzZurWrZv795wffvih7rjjDrVt21ZBQUFKTk5WSUmJ+9vvP3zzzTc699xzNXLkSPfceOedd3TBBRd4vH88dfvtt6tly5Zq3LixkpOTtXz5cjmdTn344YcaOXKkOnXqpMDAQA0fPlx/+ctflJ6e7l725ptv1tlnn63w8HD17NlTu3btqvB2P/jgg2rUqJEuvvhi3XTTTUpLS1NxcbHS09N1//33Kzw8XA0bNtQjjzyiX375RRkZGdWyvTg58mjFkUfJo+RR8qh0+mNBnz593D+nWb16tYYNG6a1a9fKGKNvv/1W8fHx8vf315IlS3TnnXeqdevWCg4O1n333afffvtNW7Zs0bJly9xXAgUEBCgmJkZXXnnlaY+5dRW/6fYRTZs2lSQFBARIUpnk7u/vL5fLpezsbEnSoEGDyixbWlqqQ4cOnXS9559//knbDx48qAsvvLBMW+fOnU/aNzo6+qTtqamp5Z5zOp2aOXOmfvjhB4WHh+uyyy6TdPxyngMHDigwMFDnnnuuu3+LFi3cN8aoqIYNG+r1119XamqqkpKS1KBBA916660aN25cuQ8M2dnZSk1N1SuvvOJuKy0tVXZ2tkpKSnTBBReU6d+iRYsKxxESEqLQ0FBJx18j6f9etz8e/3G5aXUJCAjQ/Pnz9dlnn6lJkybq2LGjXC5Xlcc555xzyjwODAw86ToPHz6siy66qEzbRRddpFWrVp1xjDvvvNMd/0MPPaSoqCg9/vjjaty4sUpKSsrMxz/+/9lnn510vD/eC1LZOf77779rz549Zealy+Xy6HU90R/vS+n4vj/xd0f+/v7uy/NON89OpkmTJmUeN2jQQE6nUzk5OTrvvPMUFBTkfu6iiy5SXl6eCgoKdPDgwTJz9s/75nT+vGyzZs3UrFkz9+PGjRuXiaewsFCSlJOTU2Ycf39/XXjhhdq7d6/atWvnbj906FC5Y8qll14qybP9M3/+fM2fP79ce1RUlP75z3+edNuaN2/u/v8FF1ygkpIS5ebmlotdOr7PTvwQf+I+CAwMdF+CWJHtPvH58PBwHTx4UHl5eSopKSkz5xo2bKimTZtq7969at++/Um3AVVHHq048ih5lDz6f89VVF3Mo6c7FvTs2VMPPPCAjhw5opUrV+qll17S559/rl9//VXffPON+5Lw7OxsPfroo3r88cfd63W5XPr999+VnZ2ttWvXlplPTqdTMTEx5eKr6yi6a5Hw8HD5+fnp22+/VcOGDSVJRUVFOnDggM4555wyv+v6w8m+tZaOfzD9c5J+6aWXdMUVV+gvf/lLmfaT/ebsVJ577jkVFhbqu+++U0hIiIqLi92/VQoPD1dpaan279+v8PBwSTrlN8v+/v5lbopSXFzs/t1Sbm6uHA6HXn75ZZWWlmrVqlW66667ZLPZyr2Jw8PDddNNN7l/RyVJu3bt0nnnnafPP/+83MFq//79atWqVYW29VT7tiLbk5ubWyYhnKnvHxYtWqT//Oc/Sk9P19lnny1JiouLq3AcVXXhhRdqzZo1ZdqysrJ03nnnnXHZ//73vxo2bJjuvvtu7d+/X08++aSmTJmixYsXq0GDBtq3b597XmzevFmbNm3ShRdeWOb3Xicb78TXITw8XO3bty/zDX5OTo5KS0srtb0VfY1PN888ceGFF+rgwYNyOBzu+bFnzx6FhYWpYcOG7rN1f/Dkd8IXXHBBmffb7t279eGHHyo5Ofm0yzVv3rzMB7A/CpcTP/RLx/fBib/hkqQ333xTl112mUf75/bbb9ftt99e4e2Sjn8Q+sOePXsUGhqqZs2auWM/UVZWlruIOZ2KbPfBgwfdc/b333/XRRddpHPPPVdBQUHas2eP+8NZfn6+jhw5Um6foeaRR8mj5FHyKHn0/5zpWNC1a1f9+9//Vn5+vv7yl78oJiZGy5cv16+//uq+qig8PFyTJk1SfHy8e707d+5UixYttGvXLiUkJGjOnDnu5/bt23fK925dxuXltcgflz/OnDlT+fn5Kiws1GOPPabk5GT5+fkpODhYJSUlstvtZ1zXVVddpZ9++klff/21XC6XvvjiC7322mtlvpGsjKNHjyooKEj+/v7Kz8/X9OnT5XK5VFJSoosuukgxMTF66qmnVFhYqB07dpzy5hxt27ZVVlaWNmzYoJKSEr388svu5w4fPqzRo0drzZo1CgwMdB9w/vjWMygoyH0jl+uvv16LFi3S9u3bZYzRihUrNHjwYP3222/q06ePcnNztXjxYpWWlmrFihVau3Ztlbb/VNq0aaNly5bJ5XJp06ZN+u6779zP/fl1a9Omjb744gsVFhZq//79ZS7pOnr0qBo0aKDAwEDZ7Xa99NJLOnjwYI3dtXXw4MHatGmTPvzwQ5WWlmr9+vVaunSprrnmmjMuu2jRIk2dOlX5+flq2rSpgoOD1aRJE/n7+ysxMVFz5sxx/23YWbNm6eDBg4qPj1dBQYH++c9/yuFwaPv27Vq4cOEpx4uPj9e+ffu0dOlSlZaWat++fUpKSipzMx4rnG6eScfn5B83VDmdTp066aKLLtKMGTNUVFSkvXv36oUXXnBv7/XXX68333xTGRkZKioq0rPPPlvhGK+55hrNnz9f+/btU1FRkV544QX3pdSnM2TIEM2bN0+//fabHA6HXnjhBRljyn1Ivfzyy3X48GG9++67cjqd2rBhg55//nk1bNjwjPunqhYsWKC9e/fq8OHDev7553X99dfLz89PQ4YM0VtvvaXNmzertLRU7777rnbs2KGBAwdWy3Y/++yzKigo0H//+1+99dZbGjp0qPz9/XXttdfqmWee0f79+1VQUKDp06fr4osvrlCxD2uRR48jj5JHyaPkUenMx4I+ffron//8p7p37y5J6t69uxYvXqzY2Fj3VSrXX3+9Xn75ZWVnZ8vlcumtt97Sddddp9zcXA0ePFirVq1y35xtx44duuGGG9w3iKvo61oXcKa7lpk1a5aeeuopXXHFFSouLlaXLl3ciTQiIkKXXXaZunfvrrfeeuu062nTpo3mzp2r5557Tv/4xz/UunVrzZs3r8xlMpVx7733asKECYqJiVGjRo00YMAARUZGavv27YqLi9Ps2bP1yCOPqGfPngoPD1e/fv1OevfFzp07KykpScnJyXI6nRo+fLj++te/SpIuvvhiTZs2TY899pgOHDigpk2b6uGHH3ZfojN06FCNHz9eDz74oG666SYdO3ZM99xzj/bv36/mzZvr6aefdn/4XbBggR5//HE999xzstlsuvzyy6u0/afy6KOPasaMGYqKilJkZKSGDBnivkvyn1+3cePG6eGHH1bv3r0VHh6uoUOH6o033pB0/DeL27ZtU1xcnMLCwtS9e3clJCRo+/btlsT9Zy1btlRqaqqeffZZPf744zrvvPP0j3/8Q1ddddUZl3344Yf16KOPKiEhQaWlperataumTp3qfu6pp57SoEGDVFpaqiuvvFL33HOPgoKC9Morr2jGjBlasGCBGjZsqOHDh2vMmDEnHaNx48ZauHChZsyYoVmzZikwMFADBw60/M+0DB48+LTzbMiQIZo+fbp27dpV7gzYiRo0aKDU1FRNnz5d8fHxCggIUGJiou677z5J0rXXXqtDhw4pKSlJJSUluvXWWysc4+233y673a7hw4erqKhIvXr10pQpU8643JgxY+RwODRmzBgdOXJEnTp10muvvaZGjRqVOXvUpEkTLViwQE8++aRmzZql8847TzNmzNAll1yiSy655LT7p6p69eqlv/3tbyoqKtLAgQN1//33S5ISExOVl5enBx54QAcOHNBf//pXLViwoEKXSVZkuy+++GL16dNHDRs21Lhx49zF/IQJE/Tcc89p6NChKiwsVGxsrBYsWODRWT1YhzxKHiWPkkfJo8ed6VjQp08fTZs2TbGxsZKOF91FRUVl/hrAmDFjVFpaqlGjRunIkSNq27at/vnPf7qvunj55Zf1zDPP6P7771dYWJiGDh2qW265RZJ05ZVXKiUlRcOHD6/0XfJrCz9jPPwbCYBF3n//fS1evLjMn0cArDRhwgR169ZNQ4YM8XYoAFBl5FHUNPIoUDFcXg6fUFRUpB07dpS7EQkAADgz8igA+C4uL4dPuOeee7R161bNmDHD26FIkpKTk/X999+f8vnvvvuu3J+P8SVDhw496Q2BpON3hj3xt3C1eUwcd+TIkTKXev1Znz599Nxzz9VgRABqGnm0epFH6xfyKKzG5eUAAAAAAFiEy8sBAAAAALAIRTcAAAAAABah6AYAAAAAwCI+V3SvX79eiYmJioyMVFJSkg4dOlTm+ezsbNlstjL/2rdvr9TUVI/GcblcKiwslMvlqs7wAQCoc8iZAABUnk8V3Xa7XcnJyUpOTtbatWvVunVrzZw5s0yf5s2ba+PGje5/L730ki666CKNGDHC47G2bdsmu91enZsAAECdQ84EAKDyfKroXr16tcLDw9W/f38FBQUpJSVF6enpKiwsPGl/h8OhRx55RI899pjOPvvsGo4WAAAAAIDT86miOzMzU23atHE/btKkicLCwrR79+6T9n/nnXfUtm1b9e7du4YiBAAAAACg4gK9HcCJCgsLFRwcXKYtNDT0pJezuVwuvf7663ryySerNKbT6ZTT6azSOgAAqC0CAgIqvSw5EwBQn1QlZ57Ip4ru0NBQORyOMm1FRUUKCwsr13fDhg2SpJiYmCqNmZGRUaXlAQCoTaKioiq9LDkTAFCfVCVnnsiniu62bdsqLS3N/Tg3N1cFBQVq1apVub7ff/+9+vXrV+UxIyIiTlrUAwCAssiZAAB4zqeK7tjYWE2aNEnLly9X3759NXv2bCUkJCgkJKRc3y1btujaa6+t8pgBAQHVdtkAAAB1GTkTAADP+dSN1EJCQjRv3jylpqYqJiZGWVlZmjJlivtvc2dnZ7v77t27V+eee64XowUAAAAA4PT8jDHG20F4Q2FhobZt26YOHTpwqRwAAKdBzgQAoPJ86kw3AAAAAAB1CUU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFjE54ru9evXKzExUZGRkUpKStKhQ4fK9bHb7Xr00UfVs2dP9e7dW0uXLvVCpAAAAAAAnJ5PFd12u13JyclKTk7W2rVr1bp1a82cObNcv+nTpys3N1crVqzQggUL9NRTT2nXrl01HzAAAAAAAKfhU0X36tWrFR4erv79+ysoKEgpKSlKT09XYWGhu4/D4dCyZcs0efJkhYaGql27dnrvvfd07rnnejFyAAAAAADKC/R2ACfKzMxUmzZt3I+bNGmisLAw7d69W+3bt5ck7dq1S40aNVJaWpoWLVqkkJAQpaSk6C9/+UulxnQ6nXI6ndURPgAAPi8gIKDSy5IzAQD1SVVy5ol8quguLCxUcHBwmbbQ0FDZ7Xb346NHj+rw4cP67bfflJ6erq1bt2rs2LFq166dLr74Yo/HzMjIqHLcAADUFlFRUZVelpwJAKhPqpIzT+RTRXdoaKgcDkeZtqKiIoWFhbkfBwUFyel0KiUlRSEhIerSpYt69OihlStXVqrojoiIKLN+AABwcuRMAAA851NFd9u2bZWWluZ+nJubq4KCArVq1crd1qpVK/n5+enYsWNq1qyZJKm0tFTGmEqNGRAQUG2XDQAAUJeRMwEA8JxP3UgtNjZWe/fu1fLly+VwODR79mwlJCQoJCTE3adJkybq3bu3Zs+ereLiYq1fv15r1qxRnz59vBg5AAAAAADl+VTRHRISonnz5ik1NVUxMTHKysrSlClTlJ2dLZvNpuzsbEnSrFmz5Ofnp969e+uBBx7Q9OnT1bJlSy9HDwAAAABAWX6mstdl13KFhYXatm2bOnTowO/TAAA4DXImAACV51NnugEAAAAAqEsougEAAAAAsAhFdyW5Sku9HUKNqm/bC9QF9el9W5+2FQAA1C4+9SfDahP/wECtm5wip73I26FYLiAkVNHTZns7DAAeqi/HKY5RAADAl1F0V4HTXiSn3e7tMADglDhOAQAAeBeXlwMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGfISrtNTbIdSo+ra9AAAAqJ8CvR3An61fv15TpkxRVlaWbDabZs2apXPPPbdMn08++UQPPviggoKC3G1fffWVmjZtWtPhAtXGPzBQ6yanyGkv8nYolgsICVX0tNneDgMAAACwnE8V3Xa7XcnJyZoyZYouv/xyPfnkk5o5c6aeeeaZMv1+/fVX3X777br33nu9FClgDae9SE673dthAAAAAKgmPnV5+erVqxUeHq7+/fsrKChIKSkpSk9PV2FhYZl+v/76qyIiIrwUJQAAAAAAFeNTRXdmZqbatGnjftykSROFhYVp9+7dZfr9+uuv+te//qWePXsqMTFRX3/9dQ1HCgAAAADAmfnU5eWFhYUKDg4u0xYaGir7CZfbOhwOtWzZUsOGDVNCQoJWr16tv//97/rggw/KFOwV5XQ65XQ6PV4uICDA42Vqu8rsJ1QccwrVrb7NKeZTxVRlXlQ2ZwIAUBtV12cpnyq6Q0ND5XA4yrQVFRUpLCzM/TgoKEhvvPGG+/Hll1+ubt26aeXKlZUqujMyMjxext/fXzabzePlarvNmzfL5XJ5O4w6iTmF6lYf5xTzqWKioqIqvWxlciYAALVVVXLmiXyq6G7btq3S0tLcj3Nzc1VQUKBWrVq52/bv36933nlHKSkp7raSkpIydzL3RERERJmiHqfWqVMnb4eAOoY5herEfLIeORMAAM/5VNEdGxurSZMmafny5erbt69mz56thIQEhYSEuPucddZZeuedd9SiRQsNGTJEX375pTZv3qxZs2ZVasyAgIB6dwlmZbGfUN2YU6hOzCfrkTMBAPCcT91ILSQkRPPmzVNqaqpiYmKUlZWlKVOmKDs7WzabTdnZ2QoLC9PLL7+st99+W1FRUZozZ45efPFFNWvWzNvhAwAAAABQhk+d6Zakzp0766OPPirXvnHjRvf/o6Ki9MEHH9RkWAAAAAAAeMynznQDAAAAAFCXUHQDAAAAAGARim4AAAAAACxC0Q0AAAAAgEUougEAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTdAAAAAABYhKIbAAAAAACLUHQDAAAAAGARim4AAAAAACxC0Q0AAAAAgEUougEAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTdAAAAAABYhKIbAAAAAACLUHQDAAAAAGARim4AAAAAACxC0Q0AAAAAgEV8ruhev369EhMTFRkZqaSkJB06dOiUfY8cOaIePXroxx9/rMEIAQAAAACoGJ8quu12u5KTk5WcnKy1a9eqdevWmjlz5in7P/HEEzpy5EgNRggAAAAAQMX5VNG9evVqhYeHq3///goKClJKSorS09NVWFhYru9XX32l/Px8tWjRwguRAgAAAABwZoHeDuBEmZmZatOmjftxkyZNFBYWpt27d6t9+/bu9qNHj2rWrFl67bXXNGrUqCqN6XQ65XQ6PV4uICCgSuPWRpXZT6g45hSqW32bU8yniqnKvKhszgQAoDaqrs9SPlV0FxYWKjg4uExbaGio7HZ7mbYZM2Zo1KhRuuCCC6o8ZkZGhsfL+Pv7y2azVXns2mbz5s1yuVzeDqNOYk6hutXHOcV8qpioqKhKL1uZnAkAQG1VlZx5Ip8qukNDQ+VwOMq0FRUVKSwszP34+++/1+7du/Xkk09Wy5gRERFl1o9T69Spk7dDQB3DnEJ1Yj5Zj5wJAIDnfKrobtu2rdLS0tyPc3NzVVBQoFatWrnbPv/8c23dulVdu3aVJBUUFGj8+PGaOnWqEhMTPR4zICCg3l2CWVnsJ1Q35hSqE/PJeuRMAAA851M3UouNjdXevXu1fPlyORwOzZ49WwkJCQoJCXH3mTZtmjZu3Kh169Zp3bp1atGihVJTUytVcAMAAAAAYCWfKrpDQkI0b948paamKiYmRllZWZoyZYqys7Nls9mUnZ3t7RABAAAAAKgwn7q8XJI6d+6sjz76qFz7xo0bT9r/iy++sDokAAAAAAAqxafOdAMAAAAAUJdQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFjE46K7uLhY6enpeu2111RUVKStW7daERcAAAAAALVeoCedd+7cqdGjRyssLEz79u1TQkKCbrjhBj377LMaOHCgVTECAAAAAFAreXSme+rUqRo7dqyWL1+uwMBAtW7dWrNnz9aLL75oVXwAAAAAANRaHhXd27Zt04gRIyRJfn5+kqR+/fopOzu72gJav369EhMTFRkZqaSkJB06dKhcn59//llDhgyRzWbTVVddpW+++abaxgcAAAAAoLp4VHSfc8452r59e5m2HTt26Pzzz6+WYOx2u5KTk5WcnKy1a9eqdevWmjlzZpk+LpdL9957r2699VZt3LhRjzzyiFJSUlRUVFQtMQAAAAAAUF08KrpHjx6t2267TfPnz1dJSYnefvtt3XXXXbr11lurJZjVq1crPDxc/fv3V1BQkFJSUpSenq7CwsL/C9jfX59++qmuvvpqOZ1OHTlyRI0aNVJAQEC1xAAAAAAAQHXx6EZqw4YN09lnn62lS5eqefPmWrFihZKTkzVo0KBqCSYzM1Nt2rRxP27SpInCwsK0e/dutW/f3t0eFham0tJSRUZGqrS0VE888YSCgoIqNabT6ZTT6fR4ufpY5FdmP6HimFOobvVtTjGfKqYq86KyORMAgNqouj5LeVR0S9KAAQM0YMCAahn8zwoLCxUcHFymLTQ0VHa7vVzfgIAAbdiwQRs2bND48eP1//7f/1O7du08HjMjI8PjZfz9/WWz2TxerrbbvHmzXC6Xt8Ook5hTqG71cU4xnyomKiqq0stWJmcCAFBbVSVnnsijonvixImnfG7GjBlVDiY0NFQOh6NMW1FRkcLCwsr19fPzU1BQkGJjYxUXF6eVK1dWquiOiIg46fpRXqdOnbwdAuoY5hSqE/PJeuRMAAA851HR/edEm5ubq++++07XX399tQTTtm1bpaWllVl/QUGBWrVq5W47cuSIhg8frmXLlrnPijscDp111lmVGjMgIKDeXYJZWewnVDfmFKoT88l65EwAADznUdE9efLkcm2bNm3S3LlzqyWY2NhYTZo0ScuXL1ffvn01e/ZsJSQkKCQkxN2nadOmOvvss5Wamqq7775bP/zwg37++WdNnz69WmIAAAAAAKC6eHT38pPp3LmzNm3aVA2hSCEhIZo3b55SU1MVExOjrKwsTZkyRdnZ2bLZbO6/B/7cc89p48aNiomJ0QsvvKB58+bpvPPOq5YYAAAAAACoLh6d6f7ll1/KPC4pKdGyZcvUsmXLaguoc+fO+uijj8q1b9y40f3/li1batGiRdU2JgAAAAAAVvCo6P7zb7f9/f3Vpk2bk152DgAAAABAfedR0f3f//7XqjgAAAAAAKhzKlR0//my8pPp2LFjlYMBAAAAAKAuqVDRfaY/Cebn56dt27ZVS0AAAAAAANQVFSq6uawcAAAAAADPefSbbkkqKipSXl6eXC6XpON3MN++fbv69etX7cEBAAAAAFCbeVR0L126VE888YQcDkeZ9ubNm1N0AwAAAADwJx4V3fPmzdPkyZMVHBysVatWady4cXr66ad16aWXWhUfAAAAAAC1lr8nnY8cOaKhQ4cqOjpaGRkZatOmjaZNm6YPPvjAqvgAAAAAAKi1PCq6zz//fB07dkwXXHCB9uzZI5fLpWbNmik3N9ei8AAAAAAAqL08urw8Li5OY8eO1bx582Sz2TRt2jQFBQWpRYsWVsUHAAAAAECt5dGZ7h49eqhXr14KCAjQo48+qqysLG3atElPPPGEVfEBAAAAAFBreXSme/r06bLb7crLy9OQIUP0yiuvWBUXAAAAAAC1nkdnur/66ivNmTNHdrtdt9xyi6655hotXrxYhw8ftio+AAAAAABqLY+KbkmKjo7W1KlT9cMPP2j8+PFavHixevfubUVsAAAAAADUah5dXi5JLpdLK1eu1LJly/Tll18qIiJCd9xxhxWxAQAAAABQq3lUdE+bNk2fffaZgoODlZiYqA8++ECtW7e2KjYAAAAAAGo1j4ruvLw8zZo1S927d5efn59VMQEAAAAAUCd4VHQ/88wzVsUBAAAAAECd4/GN1Ky2fv16JSYmKjIyUklJSTp06FC5Plu3btWNN96oqKgoXXnllVqxYoUXIgUAAAAA4PR8qui22+1KTk5WcnKy1q5dq9atW2vmzJll+jidTt111126/vrr9dNPP+mxxx7TQw89pN9//91LUQMAAAAAcHI+VXSvXr1a4eHh6t+/v4KCgpSSkqL09HQVFha6+xw6dEiXXXaZhg0bJn9/f8XGxqp169batm2bFyMHAAAAAKA8nyq6MzMz1aZNG/fjJk2aKCwsTLt373a3hYeHa+7cue7H2dnZ2rlzp9q1a1eToQIAAAAAcEYe/51uKxUWFio4OLhMW2hoqOx2+0n75+Xl6c4779Tw4cPVsmXLSo3pdDrldDo9Xi4gIKBS49VmldlPqDjmFKpbfZtTzKeKqcq8qGzOBACgNqquz1I+VXSHhobK4XCUaSsqKlJYWFi5vtnZ2brtttvUuXNnTZgwodJjZmRkeLyMv7+/bDZbpcesrTZv3iyXy+XtMOok5hSqW32cU8yniomKiqr0spXJmQAA1FZVyZkn8qmiu23btkpLS3M/zs3NVUFBgVq1alWm3//+9z/dcsstuuaaa3T//fdXacyIiIiTFvUor1OnTt4OAXUMcwrViflkPXImAACe86miOzY2VpMmTdLy5cvVt29fzZ49WwkJCQoJCXH3KS4u1vjx4zV8+HDdfffdVR4zICCg3l2CWVnsJ1Q35hSqE/PJeuRMAAA851M3UgsJCdG8efOUmpqqmJgYZWVlacqUKcrOzpbNZlN2dra+/PJLZWZmauHChbLZbO5/n376qbfDBwAAAACgDJ860y1JnTt31kcffVSufePGjZKk5s2b66qrrqrpsAAAAAAA8JhPnekGAAAAAKAuoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAItQdAMAAAAAYBGKbgAAAAAALELRDQAAAACARSi6AQAAAACwCEU3AAAAAAAWoegGAAAAAMAiFN0AAAAAAFiEohsAAAAAAIv4XNG9fv16JSYmKjIyUklJSTp06NAp+27cuFFXXHFFDUYHAAAAAEDF+VTRbbfblZycrOTkZK1du1atW7fWzJkzT9r3k08+0e233y6n01nDUQIAAAAAUDE+VXSvXr1a4eHh6t+/v4KCgpSSkqL09HQVFhaW6ffJJ59o7ty5uuOOO7wUKQAAAAAAZxbo7QBOlJmZqTZt2rgfN2nSRGFhYdq9e7fat2/vbu/evbuuuOIKrVu3rspjOp3OSp0tDwgIqPLYtQ1XFViLOYXqVt/mFPOpYqoyLyqbMwEAqI2q67OUTxXdhYWFCg4OLtMWGhoqu91epq1Zs2bVNmZGRobHy/j7+8tms1VbDLXF5s2b5XK5vB1GncScQnWrj3OK+VQxUVFRlV62MjkTAIDaqio580Q+VXSHhobK4XCUaSsqKlJYWJhlY0ZERFi6/rqkU6dO3g4BdQxzCtWJ+WQ9ciYAAJ7zqaK7bdu2SktLcz/Ozc1VQUGBWrVqZdmYAQEB9e4SzMpiP6G6MadQnZhP1iNnAgDgOZ+6kVpsbKz27t2r5cuXy+FwaPbs2UpISFBISIi3QwMAAAAAwGM+VXSHhIRo3rx5Sk1NVUxMjLKysjRlyhRlZ2fLZrMpOzvb2yECAAAAAFBhPnV5uSR17txZH330Ubn2jRs3lmuLiYnRF198URNhAQAAAADgMZ860w0AAAAAQF1C0Q0AAAAAgEUougEAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTdAAAAAABYhKIbAAAAAACLUHQDAAAAAGARim4AAAAAACxC0Q0AAAAAgEUougEAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTdAAAAAABYhKIbAAAAAACLUHQDAAAAAGARim4AAAAAACxC0Q0AAAAAgEUougEAAAAAsIjPFd3r169XYmKiIiMjlZSUpEOHDpXrc/DgQSUlJclms2nQoEHauHGjFyIFAAAAAOD0fKrottvtSk5OVnJystauXavWrVtr5syZ5fpNnjxZ7du3148//qjbb79d9913n5xOpxciBgAAAADg1Hyq6F69erXCw8PVv39/BQUFKSUlRenp6SosLHT3yc/P1/fff68777xTQUFBuuaaa3TWWWdpzZo1XowcAAAAAIDyfKrozszMVJs2bdyPmzRporCwMO3evdvdtnv3bjVt2lRnnXWWu61NmzbauXNnTYYKAAAAAMAZBXo7gBMVFhYqODi4TFtoaKjsdvtp+4SEhJTp4wmn01mpS9MDAgIUEBJaqTFrmz+2k0v4rcWcQnWrL3OK+eSZgICASi9b2ZzpZ1zyD2xQ6XFrG1dpiYyfT53XAABUQlVy5ol8qugODQ2Vw+Eo01ZUVKSwsLAyfYqLi8v0sdvtZfp4IiMjw+Nl/Pz8dNmllyp62uxKjVkblZQ61SCweiadr7MXO7T1ly0yxtTYmMypuo05Zb36NJ+kqs2pqKioSo9blZwZVI+Kbqf81aCaPqj5Om8e34JCQmpsTG+rT8c4b8wpSbrwwgvVvHnzGh3TW4pLShXcwKfKQEt5K2eeyKf2dtu2bZWWluZ+nJubq4KCArVq1crd1rp1a+Xm5io/P1+NGjWSJP3222+68cYbKzVmREREpQv2+nRWpUFggG5/ZYWKHKXeDsVSoUGBmn9bP3Xu3Nkr4zOn6h7mVM2oL/NJ8u6cImdWTH2Zj96ciwEBAVo3OUVOe1GNj13TGpzdRF0eeUr3Lv5GRSV1fE41CNQLt8STMy0W3CCwXhyjJO9/DvuDTxXdsbGxmjRpkpYvX66+fftq9uzZSkhIUMgJ32Q2atRIPXv21Jw5c3T//ffrs88+U25urqKjoys1ZkBAQLVdNlDXFTlK68WbU6q+S0lweswpVKf6NJ8k78wpcmbF1af56K054bQXyVnJnxfWJn6B+SpxuvTCLfHeDqVGlDhd9eZKEW+qT8coyfufw3yq6A4JCdG8efP06KOPatKkSerSpYtmzZql7OxsDRo0SJ988omaN2+uJ554Qg8//LC6d++uiy66SC+99JKCgoK8HT4AAABQrUxpqRoE1J97BNSnbfWm0CCfKgMt4yvb6RtRnKBz58766KOPyrVv3LjR/f/zzjtP8+fPr8mwAAAAAKDWK3G6NP+2ft4Oo8Ycv3rCu1/m8FUSAAAAANQT3i5Aa5ovbK/PnekGAACo7XzlkkYr1YdtBIDqwNESAACgGtWnSzd94bJNAPB1FN0AAADVqD4Vod7c1oCQUK+NXZPqy3YCdRlFNwAAAGoVV2mpoqfN9nYYNcZVWir/QD62A7VV/fkqFgAAAHVCfStA69v2AnUNRTcAAAAAABah6AYAAAAAwCIU3QAAAAAAWISiGwAAAAAAi1B0AwAAAABgEYpuAAAAAAAsQtENAAAAAIBFKLoBAAAAALBIoLcDAFB/hQbV/UNQfdhGAAAAnBqfBgF4RYnTpfm39fN2GDWixOlSgwAuLAIAAKiP+BQIwCvqUxFan7YVAAAAZfFJEAAAAAAAi1B0AwAAAABgEYpuAAAAAAAs4lNF986dO3XDDTcoMjJSw4YN0//+97/T9t+9e7e6detWQ9EBAAAAAOAZnym6jTH6+9//rkGDBmnt2rXq16+fHn744VP2X7VqlUaNGqX8/PwajBIAAAAAgIrzmaJ7+/bt2r9/v26++WYFBQVp7Nix2rlzp3bt2lWu76ZNmzRx4kTdeeedNR8oAAAAAAAV5DN/pzszM1Nt2rSRn5+fJMnf318tWrTQzp071aZNmzJ9L774Yn3++ec6ePBglcd1Op1yOp1VXk9dFxAQ4O0QahRzAqhd6tsxSqr8caoq+4qcCQCoT6rr80WNF93fffedxo4dW669VatWuvDCC8u0hYaGym63l+vbuHHjaosnIyOj2tZVV/n7+8tms3k7jBq1efNmuVwub4cBoAL+OEaFBvnM98iW+mM7K3ucioqKqvTY5EwAQH1SlZx5ohr/hNK7d2/9+uuv5do///xzvfrqq2XaioqKFBYWZmk8ERERlo+B2qdTp07eDgGAB0pKnZp/Wz9vh1FjSkqdXjlOkTMBAPCcz5wWaNu2rTIzM2WMkZ+fn1wul7KysnTxxRdbOm5AQEC9vCwRp8ecAGqX+vaObRDonS0mZwIA4DmfKbovueQSnXvuuVq0aJFuuukmvfbaa2rZsqVat27t7dDw/6sPl27Wh20EAAAAUHN8qsKYM2eOJk2apDlz5qhdu3Z6/vnn3c/ZbDYtWLBA0dHRXoyw/ipxuurNpZslTpcaBPjMjf0BAAAA1GJ+xhjj7SC8obCwUNu2bVOHDh34fRoAAKdBzgQAoPI4nQcAAAAAgEUougEAAAAAsAhFNwAAAAAAFqHoBgAAAADAIhTdAAAAAABYhKIbAAAAAACLUHQDAAAAAGARim4AAAAAACwS6O0AvMXlckmSioqKvBwJAAA1KyQkRP7+Ff/enZwJAKivPM2ZJ1Nvi+7i4mJJ0q5du7wbCAAANaxDhw4KCwurcH9yJgCgvvI0Z56MnzHGVFM8tUppaany8vIUHBxc5W8uAACoTTz91p6cCQCor6rjTHe9LboBAAAAALAaX1cDAAAAAGARim4AAAAAgOXmzp2rcePGVes69+zZo3bt2unw4cPVut7qRNENAAAAAIBFKLoBAAAAANVq48aNGj58uGw2m/r376+PP/5YknT06FH94x//UExMjOLj45WWluZeZseOHUpKSlLXrl01cOBAvffee+7n8vPzNWnSJHXr1k0xMTGaOHGi+69r/MHlcunBBx/UsGHDdPTo0ZrZ0Aqg6AYAAAAAVJvDhw9r7NixSkxM1E8//aSZM2dq8uTJ2r59u37++Wf169dPa9as0ejRozV58mSVlJSooKBASUlJ6tGjh1atWqUXXnhBL7/8slasWCFJeuyxx5Sdna3PPvtMX3zxhTIzMzVnzpwy4z766KPavXu3XnvtNTVu3Ngbm35S3L0cAAAAAFBtPvjgA82fP1+fffaZu23r1q368MMPtXnzZr377ruSpP3796t379769ttvtWHDBr3wwgtKT093LzN//nytW7dOL774orp06aI333xTkZGRkqS9e/fK4XAoICBAffv21aBBg7R27Vp99tlnatSoUY1u75kEejsAAAAAAEDdcejQIV144YVl2i699FJ9+eWXOvvss91tDRo0kCSVlpbq999/1549exQdHe1+3uVyqUWLFsrLy1NJSUmZdf7x/z179kiSfv/9d9ntdq1Zs0b9+vWzbNsqg6IbAAAAAFBtwsPDtW/fvjJtb775pjZt2qTAwJOXoOHh4Wrfvr3ef/99d1tOTo5KS0t1zjnnqEGDBtq3b5/Cw8MlSZs3b9amTZuUkJAgSZozZ46++uorTZkyRV27di1T3Hsbv+kGAAAAAFSbyy+/XIcPH9a7774rp9OpDRs26Pnnn1fDhg1PuUx8fLz27dunpUuXqrS0VPv27VNSUpIWLFggf39/JSYmas6cOcrLy1NeXp5mzZqlgwcPupdv0KCBbrzxRrVq1UrTp0+vic2sMIpuAAAAAEC1adKkiRYsWKAPP/xQ3bp106RJkzRjxgxdcsklp1ymcePGWrhwodLS0tSjRw8NGTJEUVFRevDBByVJDz/8sJo3b65BgwZp4MCB+utf/6p77rmnzDr8/Pw0bdo0LV++XN98842Vm+gRbqQGAAAAAIBFONONCsvMzPR2CLXKH5e+oPZgjgOwEscYz5BHax/meN3Ee7HqKLpRIVu3btWwYcNO+fy6devUs2fPGozIOyZMmKCpU6dWqO+AAQO0e/duiyOqH9q1a2f5GH+e46NGjdLChQurZd0LFy7UqFGjqrSODz74QIMHD67UsqmpqUpOTq7S+FXx448/ymaz1fi4c+fO1bhx42p8XOBkyKPHkUe9gzxau/Oot/FerDruXo4KOXbsmEpKSk75fHR0tFauXFmDEfm+3Nxcb4cAD5xpjtdm48eP93YIQL1HHvUcebR2IY/WXbwXq44z3XXYnj17ZLPZ9NZbbykuLk5RUVF68cUXlZaWpoSEBEVFRemJJ55w98/Ly9PEiRMVFxenXr16afr06SouLtb+/fs1duxYFRYWymazKTs7W6NGjXL3HTZsWLkzWV999ZWuvvpq2Ww2JSYm6ocffjhpjDab7aT/1q1bd9L+//rXvzRw4EDZbDYNGzZMW7ZskSQVFBRo2rRpiouLU2xsrO69914dOHBA0vGzbIMGDdILL7ygmJgYxcbGasmSJVq0aJHi4uLUrVs3LViwwD1Gu3bt9MorryguLk7R0dF69NFHVVxcXC4Wp9Op+fPnq1+/foqJidEdd9zh/tMIV199tSRp5MiR+vjjjyVJS5cu1RVXXKHo6GiNGjVKO3bsKPM6LVq0SL1791ZMTIweeughd+IqLi7WU089pfj4ePXo0UMPPfSQ+xKfw4cP6/bbb1e3bt0UHx+vCRMmqKioyP0aDBo0SNHR0UpMTCzz5xdO53TLbdy4UcOHD5fNZlP//v3d2yZJb7zxhgYMGKCoqCiNGDFCP//8c5l9Om3aNHXr1k1PPfXUafeHJ6yc45K0Y8cO/e1vf1OXLl107bXX6r///a97XZ988okSExPVpUsXXXfddfr222/dz+3du1djxoyRzWbTNddco507d1Z4m3bu3KmkpCR16dJFvXv31muvveZ+zuFwaOrUqerZs6d69OihRYsWuZ/LzMzU+PHjFRMTo/j4eD3zzDNyOBySyp7xNcZo/vz5io+PV5cuXXTrrbcqKyvrtPvnZAYNGnTS9+6Jc+JExhjNnj1bPXv2VP/+/fXuu++6nzt06JAeeOABde/eXXFxcZo8ebKOHTsm6fiZiaSkJE2aNEnR0dGKj4/Xq6++WqHtlo5/CExOTla3bt10/fXXa/369e7ntmzZolGjRik6Olr9+vXTwoULxW1OcCLyKHmUPEoelbyfR4uKivSPf/xDMTExiouL01133aWcnBx9+eWX6tOnj7vfW2+9pUsvvdSdQ3/44Qf1799fkrRv3z7dc889io2NVUJCgl5++WU5nU5Jnr8XUQkGdVZWVpaJiIgwkyZNMsXFxebbb781ERER5o477jD5+flmy5YtpkOHDuY///mPMcaYcePGmXvuucccPXrU5OTkmJtvvtlMnz7dGGPMmjVrTGRkpHvdI0eONP379zc5OTnm6NGjZZ7fsWOHueyyy8znn39unE6n+eyzz0ynTp3MkSNHqrQ9P/zwg7HZbOann34yTqfTvPrqqyYuLs6UlJSY++67zwwfPtzs27fP5OfnmwkTJpihQ4cap9Np1qxZYyIiIswLL7xgSktLzdtvv206dOhgJk+ebIqLi82KFStM+/btTU5OjjHGmIiICDNs2DBz4MABs2/fPjN48GDzzDPPGGOMeeihh8zjjz9ujDHm1VdfNVdccYXZtWuXsdvt5qmnnjLXXXedcTqd7vVs3rzZGGNMenq66dGjh9myZYtxOBxm8eLFplevXqawsND9Oj344IOmsLDQbN++3URHR5tly5YZY4yZNm2aGTFihDlw4IA5duyYue+++8ydd95pjDFm6tSpZuLEiaakpMQcOXLEJCYmmnfeeceUlpaaqKgos3r1ave+i4yMNLm5uafdx6dbLicnx0RFRZk33njDlJSUmHXr1plOnTqZjIwM895775nu3bubn3/+2ZSUlJh3333XdOnSxezbt8+9L1JSUozdbjdHjx497f44mYiIiJO2Wz3He/ToYbZv324cDoe59957zejRo40xxnz//femU6dO5vvvvzelpaXmyy+/NJ06dTJbt241xhhzww03mAkTJhi73W62bt1qYmNjzciRI0+7740xxuFwmD59+pinn37aFBcXmx07dpiYmBjzzTffmPfff99ERESY1157zTidTvPFF1+Ydu3amX379pni4mKTkJBgpkyZYgoLC83vv/9urrvuOjNz5kxjjDFz5swxt99+uzHGmPfee8/07t3b/Pe//zUlJSVm+vTpZujQoWfcP1Xxx3tw6tSpxm63m40bNxqbzWZWrVpljDFm+PDh5q677jJ5eXnm8OHDZsyYMeaee+4xxhj3dr/11lumpKTEpKWlmfbt25u9e/dWaLsjIiLMxx9/bEpKSszbb79toqKizJEjR9zzOTU11RQXF5uMjAzTp08f88Ybb1R5e1F3kEfJo+RR8qgx3s+jCxcuNKNHjzZFRUWmoKDAjB492jzzzDOmqKjIdOrUyezcudMYY8ydd95pOnXqZL788ktjjDFPPPGEmTFjhiktLTXXXHONmTZtmikqKjJZWVlm8ODBZtGiRcYYz96LqByK7jrsjwPpjh07jDHHE0FERIRZuXKlu8/ll19u0tPTzcGDB01ERIT74G6MMRs3bnQfPE92ID3xIHLi83PmzHEfVP+wadMmU1RUVKXteeihh8zkyZPdj0tLS82GDRtMfn6+6dixo/npp5/cz+Xn55sOHTqYbdu2mTVr1ph27dq5E1FmZqaJiIgwu3btMsYY43Q6TUREhNmyZYsx5viB5Y9iwBhjli1bZuLj490x/PFh4YorrjAff/yxu19JSYmJjIw0P//8s3s9fxygxowZY+bNm1dmewYOHGg+/fRT9+u0fft293OjR482c+fONS6Xy3Tq1MmsX7/e/dyBAwdMRESEycnJMbNnzzZXXHGF+eijj0xOTo774GiMMfHx8eaBBx4wP/74o3E4HGWeO51TLff++++bgQMHlun7yy+/mKNHj5oRI0aYl156qcxzw4YNM4sXL3bviy+++ML93On2x8mc6cOCVXP8ueeecz/++OOPTb9+/Ywxxtx///1m0qRJZWJJSUkxTz75pDumgwcPup977rnnKvRhYc2aNcZmsxmHw+Fuy8jIMDk5Oeb99983PXv2LNP/j3m/atUq07lzZ1NcXOx+7ttvvzVdu3Y1xpT9sDBy5Ejzz3/+090vPz/fbN68+Yz7pyrWrFljLrvsMmO3291tkydPNhMnTnS/H/fu3et+bseOHSYiIsIcPXrUvP/++yY2NrbM+i677DKzdu3aCm33TTfdVGbZgQMHmn//+99myZIl7tfzD2+//ba59tprq7y9qDvIo+RR8ih51Bjv59GlS5eauLg4895775ns7Owyc3HcuHHmjTfeMKWlpaZbt27m8ccfN08++aQxxpgBAwaYtWvXmk2bNpnOnTuX2S9paWnmqquuMsZ49l5E5fCb7v+PvTuPi7Lc/z/+hsFhERNNwx1sQU1TRlBwTXEt9diixzplpaWZFYd2LTWPS5pLcrSCVqvTeurYomVqu5m5Up6OpmaJKGii4AIMAzP3749+zlfChWVuZoDX8/Hw8fC+57rv63PfXDOf+cx9zT21QIMGDSRJFotFklSvXj33Y/7+/nK5XO5pQEOGDCmxbXFxsbKzs8+434suuuiM6w8fPqymTZuWWNepU6czto2NjT3j+tTU1FKPHT58uMQ6i8Uim82m33//XUVFRWrRooX7sbp166pBgwbKyspSSEiIgoKCFBwcLOmPY5b+7zycWna5XO7tW7Vq5f5/kyZNdPjw4VIxZmZmatq0afrHP/7hXudyuXTgwAF17NixVNvU1FS9+OKL7nXFxcXKzMzUFVdcIUlq2LCh+7GAgAAZhqGjR4/Kbrdr3Lhx8vPzcz8eGBio/fv3a+LEibJYLHr++ef1yCOPKCYmRv/4xz90ySWX6OWXX9bTTz+te++9V0VFRRo5cqQeeOABWa3WM57zU862XXZ2dqm/6+WXXy5JOnLkiJo3b17isebNmysrK8u9fPp4Odf5qAizxvgFF1zg/n+dOnXc07COHj2qmJiYEm2bN2+uffv26ffff1dAQIAaNWrkfqxFixbaunXreY8jOztbjRo1Up06ddzrTv89y7CwsBLtT8V05MgRNW7cuMTftnnz5jp27Jjy8vJKbHP48GE1adLEvVy3bl1dccUV2rZtm6Szn5/Tj0eShg0bVuLve8rjjz+uYcOGlVp/4YUXKjAw0L3cpEkTpaWl6ciRIwoICCgR06nn8qn9X3jhhSX2FRAQIJfLVabjbtasWYltTz2fXS7XGcdsRccgajbyKHmUPEoePcUbeXTEiBEqKCjQ22+/rccff1xt27bVtGnTZLPZ1LdvX3311Vfq0KGDWrVqpX79+mn+/PlKT09Xbm6uOnfurFWrVqmwsFDdunVz79MwDPdzojzPRVQMRTckSeHh4fLz89PXX3+tunXrSvrj+yO///67LrzwwjN+l+b05HW6Jk2alHphfOaZZzR48GBdcsklJdaf7TtnZ9vvqe+XSH+8WMybN0+33367rFar9u/f734RPHnypHJyctSoUSPl5+efNdazOXTokDv5ZWZmlkqS0h/n7NFHH1WfPn3c6/bs2VPiTcvpbW+66SbddNNN7nV79+5V48aNlZOTc9Y4GjRoIKvVqrffftudNIqLi5Wenq6IiAjt2LFDI0eO1D333KNDhw7piSee0PTp0/Xcc88pKytLCxculGEYSktL0z333KM2bdrouuuuO2t/+fn5Z90uPDy8xPmXpNdff10dOnRQs2bNtH///hKPZWRkqEOHDu7l0/8G5zofZqnIGD+bpk2bnvF4GzVqpPDwcBUXF+vQoUMKDw+X9Md4KmuMhw8fVnFxsQIC/nh5/uijj1S/fv3zxnP48GE5HA73G4b9+/crJCTEfayn/Pl5dOLECT3zzDMaM2bMOc/Pny1fvrxMx3RKbm6uioqK3G+EDhw4oObNm6tZs2YqLi5WVlaW+3mWkZEhPz+/Um9QKnLcf36jf6rf4uJiHThwoMRjGRkZpo5B1Gzk0ZLIo+TRcyGPli+P7t69W71799bo0aOVk5OjZ555Rg888IC++OIL9enTR/PmzdPll1+ubt26KSYmRr/++qvef/999e3bVxaLReHh4QoLC9P69evd+zx27Jj7u9/leS6iYriRGiT98WTr0aOH5s6dq5MnTyo/P1+PP/64EhMT5efnp8DAQBUVFclut593X1dffbU2bdqkL7/8Ui6XS2vWrNHSpUvdn6JW1PDhw7VixQr98MMPcrlc+te//qWVK1cqLCxM11xzjRYsWKBDhw4pLy9Ps2fP1sUXX1wiWZXHkiVLdOzYMWVlZemFF17QtddeW6rN9ddfr2effVaZmZlyuVx64403dO2117rv8Gi1WnXy5El321deeUW7d++WYRj67LPPNHToUP3222/njMPf31/XXnutFi5cqKNHj8rhcCg5OVm33HKLiouL9corr2jGjBk6efKkGjRooMDAQIWFhcnpdGrixInuG15cdNFF8vPzK/UJ75+da7srr7xSR48e1dtvvy2n06mtW7dq0aJFqlu3rq677jq98cYb2rZtm4qLi/X222/rl19+0aBBg87YT0XPR2V4coxfe+21+vjjj/Xtt9/K6XTqiy++cN/0qHnz5oqLi9OTTz6p/Px8/fLLL3rnnXfKFGPHjh110UUXacmSJXI4HNqzZ4/mzZvnvop0ru2aN2+uOXPmqKCgQFlZWfrnP/+p4cOHl2o7fPhwvfXWW9qzZ4+Kior07LPPKi0t7bznp7IKCgq0ePFiFRYWauPGjfrkk090/fXXu/udPXu2jh8/rpycHM2dO1e9evUqcdWqose9ceNGrV69WkVFRVq6dKkKCgp05ZVXqk+fPsrLy9Nzzz0nh8Oh3bt366WXXjrjOQPKgjxaEnmUPHou5NHyWbFihR5++GEdPXpUF1xwgUJCQtxjMTw8XBEREXr99dfVrVs3BQUFqVOnTnrllVfUr18/9/FdeOGF7vOSm5urpKQk9035brjhBi1dulRZWVlyuVx65513dPPNN7tvONigQQP3DQari82bNyshIUHSHzN/yvpThWbhSjfc5s+fryeffFKDBw9WYWGhOnfurGeffVaSFBUVpQ4dOqhbt2564403zrmfyMhILVmyRE899ZQeeOABRUREKCUl5bxvoM+na9eumjp1qiZPnqxDhw6pXbt2ev755xUQEKBJkybpqaee0ogRI5Sfn6/4+Hi98MILFX6Ra926ta655hoVFBTor3/9q8aPH1+qze23367i4mL3p46tW7fWc8895/5UdsSIEZowYYIefvhh3XTTTTpx4oTuvfdeHTp0SM2aNdO8efPUoUOHUp/0/tnkyZP11FNP6dprr9XJkyd1+eWX68UXX1RQUJAee+wxTZs2TQkJCSouLlaXLl00Y8YM1atXT4sXL9aCBQv0+OOPq27durrxxhvdLz5nc77tXnjhBT3xxBOaP3++GjdurDlz5uiyyy7TZZddpmPHjumhhx7S77//rksvvVQvvPDCWT8hHTp06FnPh5k8NcZjYmI0Z84cPfnkk9q/f79atGihhQsXKjo6WpKUnJysKVOmqEePHgoPD1f//v3LdFdZq9Wq1NRUzZo1Sz179lRoaKjuvvtu9erVS8uWLTvrdnXq1FFqaqpmz56tPn36yGKxaNiwYbr//vtLtb3mmmvcd+s9duyYOnfurOTk5POen8pq1qyZ8vPz1a1bNzVu3FizZ892TwldsGCBnnjiCQ0ePFjFxcXq16+fJk2adN59luW4e/bsqbfeekuPPPKI+47Kp65AvPjii5ozZ45eeOEF1a1bV6NGjdLtt9/ukeNF7UQe/T/kUfLouZBHy+euu+7S77//rquvvlqFhYVq37695s2b5348ISFBzz33nDp37ixJio+P148//qgePXq4j++5557T7Nmz1bt3bxmGoT59+uiJWTMlSWPHjtXYsWPd+xs1apRGjRrlXv7+++8rHLuruFj+Ad4tOX3hJ9/8DIPfRwFO16ZNG7333nvuggDe16ZNG+3cudPbYQAAyoA86nvIozibzVOT5LSbcxXbEhSs2JnJZWq7YcMGLVmyRC1bttSnn36q1q1ba+rUqXryySe1c+dOJSQkaMGCBfrtt9/0+OOPa8eOHbr00ks1Y8YMRUVFSZLeeustPfPMMzIMQ0OHDtWaNWv0xRdfaMmSJTp48KBmz56tvXv3asaMGfr5559VWFioQYMGadasWeedDVFZTC8HAAAAgFrIaS+Q02436V/5ivlNmzapc+fO2rRpk+rVq6cJEyZo9uzZ+vTTT/Xtt99qy5Ytuuuuu9S/f3+tX79et956qyZMmCCHw6GffvpJTz31lF588UWtXLlSP/300xn7ODWDYt26dVqxYoW++eYbrVu3zhOn8pyYXg7UItu3by9x05U/+9vf/qaHHnqoCiOqXV577TUtWrTorI8/9dRT6tu3bxVGBAAoD/Kod5FHa7awsDCNHDlSkmSz2RQWFua+eeSll16qTZs2qaioSLfeeqsk6aqrrtJLL72kDRs2aMuWLRo4cKDatm0rSRo/fnyJu7Gf8uSTT+qiiy6S3W7X4cOHVb9+/bPefd+TKLqBP6nJ068uv/xypaWleTuMcqspf5NbbrlFt9xyi7fDAABT1ZTX7DMhj3oXebRmO/2n6iwWi0JDQ93L/v7+7jvHn/7Th8XFxTp48KCys7NL/Kzen38y9JRdu3bpjjvuUH5+vi6//HLZ7XZVxbetKboBAAAAAF51vhs3HjhwQJdeeqn71wGkP34qLzw8XJmZmSV+yu1MV68dDofuu+8+vfDCC+rSpYsknfMnAD2J73QDAAAAAHxa8+bNdfLkSX3wwQdyuVzavHmzrrnmGmVmZmrw4MFas2aN/vvf/+rkyZN6/vnnS23vcDjkcDgUGBgol8ulDz74QNu3b1dxcbHpsXOlGwAAAABqIUtQcLXZt7+/v1JSUjRz5kzNmjVLDRs21BNPPOH+3veUKVN09913y+Fw6LrrrlN6enqJ7UNDQ/XYY4/pzjvvlMvl0hVXXKGrr77a1N+3P8XnfjJsy5Ytmj59ujIyMmSz2TR//nw1atTI/XhmZqaGDBlSYpuCggIlJSWV6zfYXC6X7Ha7goKCTL9FPAAA1Rk5EwBqnqr4DW1f+J1uX+BTmdNutysxMVGJiYnauHGjIiIiNHfu3BJtmjVrprS0NPe/Z555Rs2bN9eNN95Y7r527Nghu93uyUMAAKDGIWcCQM1TFcUwBfcffKroXr9+vcLDwzVgwABZrVYlJSVp1apVys/PP2N7h8OhKVOm6PHHH1f9+vWrOFoAAAAAAM7Np4ru9PR0RUZGupfDwsIUEhKiffv2nbH9W2+9pdatW6t3795VFCEAAAAAAGXnU9f78/PzFRgYWGJdcHDwGaezuVwuvfbaa3riiScq1afT6ZTT6azUPgAAqC4sFkuFtyVnAgBqk8rkzNP5VNEdHBwsh8NRYl1BQYFCQkJKtd26daskKS4urlJ97tq1q1LbAwBQncTExFR4W3ImAKA2qUzOPJ1PFd2tW7fWihUr3Mu5ubnKy8tTq1atSrVdu3at+vfvX+k+o6KizljUAwCAksiZAACUn08V3fHx8Xr00Ue1cuVK9evXT8nJyUpISFBQUFCptj/99JOuueaaSvdpsVg8Nm0AAICajJwJAED5+dSN1IKCgpSSkqLU1FTFxcUpIyND06dPV2Zmpmw2mzIzM91ts7KySvx+NwAAAAAAvsbPMAzD20F4Q35+vnbs2KF27doxVQ4AgHMgZwIAagrDMHTw4EE1bdq0yvr0qSvdAAAAAADzFTldNaKP8po3b57ef/99SVJqaqpmzJhhep8+9Z1uAAAAAID56lj8Nf7Fz1TgKDZl/8HWAD1/R+VvfO1pOTk5qlevniRpwoQJVdInRTcAAAAA1EIFjmLTiu7y+uCDD5ScnKzi4mLdcsstSk5O1vbt2/XVV19p/vz5ys7OVrdu3fSPf/xD9evX15IlS5SVlaXffvtNu3btUpcuXTR37lyFhYXJ4XBo4cKF+vjjj2W1WjV27FjdfPPNevfdd7V8+XL5+fkpLy9PQUFBOnjwoGbPnq2cnBw9/vjjWrdunerXr68HH3xQV199tdauXavZs2fr6NGjuvjiizV16lS1b9++XMfG9HLAR7iKfeMFr6rUtuP1htp0jmvTsQIAUNPs3r1bs2bN0uLFi7V69Wr997//ldPpVHp6uh588EH94x//0Nq1axUeHq7p06e7t/vkk080ZcoUffPNN8rJydFbb70lSXr++ee1fft2rVixQq+//rreeOMNffPNNxo5cqSGDRumiRMn6qGHHioRw7Rp0xQUFKR169YpOTlZjz32mA4fPqxHH31U06dP18aNG5WQkKCUlJRyHx9XuivIVVws/4Dac/pq2/F6g39AgDZPTZLTXuDtUExnCQpW7Mxkb4dR49WWMcV4AgCgelu1apUGDhyojh07SpIeeOABrV69Wp988okGDBig2NhYSVJiYqK6dOkiu90uSerevbv7qnPPnj2VkZEhSfroo480a9YshYWFKSwsTDfffLM++OAD9e7d+4z9FxYW6ssvv9Tq1asVFBSkjh076o033lBoaKjq1aun5cuXKzQ0VHfccYf8/ct/3ZoqqoJqy5tZiTe0VclpL5Dz/7+IAJ7AmAIAAL7u999/V3h4uHu5WbNmkqSDBw9qxYoVWrNmjfuxgIAAZWVlSZIaNGjgXm+xWORyudzbTZgwwV0gu1wuXX755Wft/9ixYyoqKioRw6n2Tz/9tBYtWqTRo0erXr16euCBBzR8+PByHR9FdyXwZhYAAAAAKueiiy7SgQMH3MsHDx6UJDVu3FijRo3SlClTJP3xc1979uxRq1atzrm/Ro0a6emnn3YXzkePHlXxOb6K1rBhQwUEBOjw4cNq0qSJJOmNN95QTEyMcnJytGTJEjkcDq1atUqTJk1Sv379FBoaWubj4zvdAAAAAACvGTJkiNasWaNt27bJbrfrn//8pyRp0KBB+uSTT/S///1PLpdLS5cu1bhx42QYxnn39/TTT+vEiRM6fvy47rnnHr3xxhuSJKvVqry8vBLtAwIC1K9fPz399NNyOBzatm2bFi9erHr16unvf/+71qxZI6vVqkaNGik4OFhWq7Vcx8eVbgAAAACohYKt5pWD5dl369atNWnSJE2cOFGS9Je//EV16tTRZZddpunTp+uhhx7SwYMHddlllyklJUUB57nX1N1336358+frqquuUlFRkQYOHKi7775bktSvXz898MADOnnypBo1auTeZvr06Zo+fbp69uypsLAwzZkzR82bN9dTTz2lOXPm6OGHH1Z4eLgWLVpU7qLbzzjfxwQ1VH5+vnbs2KF27dopJCSkQvvY8NCdtWJ6uSUoSHHzn/N2GLUCYwqeVhvGFOPJfJ7ImQAA31LkdKmOxdyJz2Xt48CBA3I4HGrdurUkac+ePbrlllu0bt06U+OrKkwvBwAAAIBaxuyCuzx9HDhwQOPGjVN2drYcDoeWLl2q7t27mxxd1WF6OQAAAADAa7p27aprrrlG11xzjQoKCtS9e3fNmDHD22F5DEU3AAAAAMCr7rnnHt1zzz3eDsMUTC8HAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwic8V3Vu2bNGwYcMUHR2tMWPGKDs7u1Qbu92uadOmqUePHurdu7feffddL0QKAAAAAMC5+VTRbbfblZiYqMTERG3cuFERERGaO3duqXazZ89Wbm6uPvvsM73wwgt68skntXfv3qoPGAAAAACAc/Cponv9+vUKDw/XgAEDZLValZSUpFWrVik/P9/dxuFwaPny5Zo6daqCg4PVpk0bvfPOO2rUqJEXIwcAAAAAoLQAbwdwuvT0dEVGRrqXw8LCFBISon379qlt27aSpL179yo0NFQrVqzQK6+8oqCgICUlJemSSy6pUJ9Op1NOp7Pc21kslgr1V51V5Dyh7BhT8LTaNqYYT2VTmXFR0ZwJAEB15Kn3Uj5VdOfn5yswMLDEuuDgYNntdvfy8ePHdfToUf32229atWqVtm/frnHjxqlNmza6+OKLy93nrl27yr2Nv7+/bDZbuber7rZt2yaXy+XtMGokxhQ8rTaOKcZT2cTExFR424rkTAAAqqvK5MzT+VTRHRwcLIfDUWJdQUGBQkJC3MtWq1VOp1NJSUkKCgpS586d1b17d61bt65CRXdUVFSJ/ePsOnbs6O0QUMMwpuBJjCfzkTMBACg/nyq6W7durRUrVriXc3NzlZeXp1atWrnXtWrVSn5+fjpx4oQaNmwoSSouLpZhGBXq02Kx1LopmBXFeYKnMabgSYwn85EzAQAoP5+6kVp8fLyysrK0cuVKORwOJScnKyEhQUFBQe42YWFh6t27t5KTk1VYWKgtW7bo+++/V9++fb0YOQAAAAAApflU0R0UFKSUlBSlpqYqLi5OGRkZmj59ujIzM2Wz2ZSZmSlJmj9/vvz8/NS7d2899NBDmj17tlq2bOnl6AEAAAAAKMmnppdLUqdOnfThhx+WWp+Wlub+f/369fXUU09VZVgAAAAAAJSbT13pBgAAAACgJqHoBgAAAADAJBTdAAAAAACYhKIbAAAAAACTUHQDAAAAAGASim4AAAAAAExC0Q0AAAAAgEkougEAAAAAMAlFNwAAAAAAJqHoBgAAAADAJBTdAAAAAACYhKIbAAAAAACTUHQDAAAAAGASim4AAAAAAExC0Q0AAAAAgEkougEAAAAAMAlFNwAAAAAAJqHoBgAAAADAJBTdAAAAAACYxOeK7i1btmjYsGGKjo7WmDFjlJ2dXarNxx9/rPbt28tms7n/5eTkeCFaAAAAAADOzqeKbrvdrsTERCUmJmrjxo2KiIjQ3LlzS7XbuXOnxo8fr7S0NPe/Bg0aeCFiAAAAAADOzqeK7vXr1ys8PFwDBgyQ1WpVUlKSVq1apfz8/BLtdu7cqaioKC9FCQAAAABA2fhU0Z2enq7IyEj3clhYmEJCQrRv374S7Xbu3Kn33ntPPXr00LBhw/Tll19WcaQAAAAAAJxfgLcDOF1+fr4CAwNLrAsODpbdbncvOxwOtWzZUiNHjlRCQoLWr1+v++67T8uWLStRsJeV0+mU0+ks93YWi6Xc21R3FTlPKDvGFDytto0pxlPZVGZcVDRnAgBQHXnqvZRPFd3BwcFyOBwl1hUUFCgkJMS9bLVa9a9//cu9fOWVV6pr165at25dhYruXbt2lXsbf39/2Wy2cm9X3W3btk0ul8vbYdRIjCl4Wm0cU4ynsomJianwthXJmQAAVFeVyZmn86miu3Xr1lqxYoV7OTc3V3l5eWrVqpV73aFDh/TWW28pKSnJva6oqEhWq7VCfUZFRZUo6nF2HTt29HYIqGEYU/AkxpP5yJkAAJSfTxXd8fHxevTRR7Vy5Ur169dPycnJSkhIUFBQkLtNvXr19NZbb6lFixa67rrr9Pnnn2vbtm2aP39+hfq0WCy1bgpmRXGe4GmMKXgS48l85EwAAMrPp26kFhQUpJSUFKWmpiouLk4ZGRmaPn26MjMzZbPZlJmZqZCQED377LN68803FRMTo8WLF+vpp59Ww4YNvR0+AAAAAAAl+NSVbknq1KmTPvzww1Lr09LS3P+PiYnRsmXLqjIsAAAAAADKzaeudAMAAAAAUJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASXyu6N6yZYuGDRum6OhojRkzRtnZ2Wdtm5OTo+7du2vDhg1VGCEAAAAAAGXjU0W33W5XYmKiEhMTtXHjRkVERGju3LlnbT9r1izl5ORUYYQAAAAAAJSdTxXd69evV3h4uAYMGCCr1aqkpCStWrVK+fn5pdp+8cUXOnnypFq0aOGFSAEAAAAAOL8AbwdwuvT0dEVGRrqXw8LCFBISon379qlt27bu9cePH9f8+fO1dOlSjR49ulJ9Op1OOZ3Ocm9nsVgq1W91VJHzhLJjTMHTatuYYjyVTWXGRUVzJgAA1ZGn3kv5VNGdn5+vwMDAEuuCg4Nlt9tLrJszZ45Gjx6tJk2aVLrPXbt2lXsbf39/2Wy2Svdd3Wzbtk0ul8vbYdRIjCl4Wm0cU4ynsomJianwthXJmQAAVFeVyZmn86miOzg4WA6Ho8S6goIChYSEuJfXrl2rffv26YknnvBIn1FRUSX2j7Pr2LGjt0NADcOYgicxnsxHzgQAoPx8quhu3bq1VqxY4V7Ozc1VXl6eWrVq5V63evVqbd++XV26dJEk5eXlacKECZoxY4aGDRtW7j4tFkutm4JZUZwneBpjCp7EeDIfORMAgPLzqRupxcfHKysrSytXrpTD4VBycrISEhIUFBTkbjNz5kylpaVp8+bN2rx5s1q0aKHU1NQKFdwAAAAAAJjJp4ruoKAgpaSkKDU1VXFxccrIyND06dOVmZkpm82mzMxMb4cIAAAAAECZ+dT0cknq1KmTPvzww1Lr09LSzth+zZo1ZocEAAAAAECF+NSVbgAAAAAAahKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJik3EV3YWGhVq1apaVLl6qgoEDbt283Iy4AAAAAAKq9gPI03rNnj8aOHauQkBAdPHhQCQkJ+utf/6qFCxdq0KBBZsUIAAAAAEC1VK4r3TNmzNC4ceO0cuVKBQQEKCIiQsnJyXr66afNig8AAAAAgGqrXEX3jh07dOONN0qS/Pz8JEn9+/dXZmam5yMDAAAAAKCaK1fRfeGFF2r37t0l1v3yyy+66KKLPBbQli1bNGzYMEVHR2vMmDHKzs4u1ebHH3/UddddJ5vNpquvvlpfffWVx/oHAAAAAMBTylV0jx07VnfccYeef/55FRUV6c0339Tdd9+t2267zSPB2O12JSYmKjExURs3blRERITmzp1boo3L5dLf//533XbbbUpLS9OUKVOUlJSkgoICj8QAAAAAAICnlOtGaiNHjlT9+vX17rvvqlmzZvrss8+UmJioIUOGeCSY9evXKzw8XAMGDJAkJSUlqVevXpoxY4ZCQkIkSf7+/vrkk08UEhIip9OpnJwchYaGymKxeCQGAAAAAAA8pVxFtyQNHDhQAwcONCMWpaenKzIy0r0cFhamkJAQ7du3T23btnWvDwkJUXFxsaKjo1VcXKxZs2bJarVWqE+n0ymn01nu7WpjkV+R84SyY0zB02rbmGI8lU1lxkVFcyYAANWRp95Llavonjx58lkfmzNnTqWDyc/PV2BgYIl1wcHBstvtpdpaLBZt3bpVW7du1YQJE3TFFVeoTZs25e5z165d5d7G399fNput3NtVd9u2bZPL5fJ2GDUSYwqeVhvHFOOpbGJiYiq8bUVyJgAA1VVlcubpylV0n5rifUpubq6++eYbXX/99R4JJjg4WA6Ho8S6goKCUv1Kf9w93Wq1Kj4+Xj179tS6desqVHRHRUWdcf8orWPHjt4OATUMYwqexHgyHzkTAIDyK1fRPXXq1FLrfvjhBy1ZssQjwbRu3VorVqxwL+fm5iovL0+tWrVyr8vJydGoUaO0fPly91Vxh8OhevXqVahPi8VS66ZgVhTnCZ7GmIInMZ7MR84EAKD8ynX38jPp1KmTfvjhBw+EIsXHxysrK0srV66Uw+FQcnKyEhISFBQU5G7ToEED1a9fX6mpqXI6nfr666/1448/qk+fPh6JAQAAAAAATynXle7//e9/JZaLioq0fPlytWzZ0iPBBAUFKSUlRdOmTdOjjz6qzp07a/78+crMzNSQIUP08ccfq1mzZnrqqac0depUxcXFqVWrVkpJSVHjxo09EgMAAAAAAJ5SrqL7z9/d9vf3V2Rk5BmnnVdUp06d9OGHH5Zan5aW5v5/y5Yt9corr3isTwAAAAAAzFCuovvnn382Kw4AAAAAAGqcMhXdf55Wfibt27evdDAAAAAAANQkZSq6z/eTYH5+ftqxY4dHAgIAAAAAoKYoU9HNtHIAAAAAAMqvXN/plqSCggIdO3ZMLpdL0h93MN+9e7f69+/v8eAAAAAAAKjOylV0v/vuu5o1a5YcDkeJ9c2aNaPoBgAAAADgT8pVdKekpGjq1KkKDAzUd999pzvvvFPz5s3T5ZdfblZ8AAAAAABUW/7laZyTk6MRI0YoNjZWu3btUmRkpGbOnKlly5aZFR8AAAAAANVWuYruiy66SCdOnFCTJk20f/9+uVwuNWzYULm5uSaFBwAAAABA9VWu6eU9e/bUuHHjlJKSIpvNppkzZ8pqtapFixZmxQcAAAAAQLVVrivd3bt3V69evWSxWDRt2jRlZGTohx9+0KxZs8yKDwAAAACAaqtcV7pnz54tu92uY8eO6brrrtOLL75oVlwAAAAAAFR75brS/cUXX2jx4sWy2+269dZbNXz4cL366qs6evSoWfEBAAAAAFBtlavolqTY2FjNmDFD3377rSZMmKBXX31VvXv3NiM2AAAAAACqtXJNL5ckl8uldevWafny5fr8888VFRWlu+66y4zYAAAAAACo1spVdM+cOVOffvqpAgMDNWzYMC1btkwRERFmxQYAAAAAQLVWrqL72LFjmj9/vrp16yY/Pz+zYgIAAAAAoEYoV9G9YMECs+IAAAAAAKDGKfeN1AAAAMrDVVzs7RCqVG07XpivyOnydghVpjYdq7fUtnPsC8db7hupmW3Lli2aPn26MjIyZLPZNH/+fDVq1KhEm+3bt2vGjBnavXu3LrroIj3wwAPq37+/lyIGAADn4h8QoM1Tk+S0F3g7FNMFhNZTxynzas1VjSKnS3UsteVovaeOxV/jX/xMBY6a/YFOsDVAz9/Be3qz1ZbxJPnOmPKpottutysxMVHTp0/XlVdeqSeeeEJz584tMa3d6XTq7rvv1sSJE3X99ddr48aNuvvuu/XRRx+pefPmXoweAACcjdNeIKfd7u0wTGcJDKo1b2h95c1sbVHgKK7xY8qbXMXF8g/wqdLIVIynquVTI2v9+vUKDw/XgAEDJElJSUnq1auXZsyYoZCQEElSdna2OnTooJEjR0qS4uPjFRERoR07dlB0AwAAn8AbWqB6qS0zcurUD1PnKU96O4xax6eK7vT0dEVGRrqXw8LCFBISon379qlt27aSpPDwcC1ZssTdJjMzU3v27FGbNm2qOlwAAAAANURtmJFjCazZx+erfKrozs/PV2BgYIl1wcHBsp9l8B87dkwTJ07UqFGj1LJlywr16XQ65XQ6y72dxWKpUH/VWUXOE8qOMQVPq21jivFUNpUZF+RMnAnPPfPVtueQN8ZUbTvHtU1Fx5SnxoVPFd3BwcFyOBwl1hUUFLinlp8uMzNTd9xxhzp16qRJkyZVuM9du3aVext/f3/ZbLYK91ldbdu2TS6X9+/+VxMxpuBptXFMMZ7KJiYmpsLbkjNxJjz3zFUbn0NVPaZq4zmubSo6piqTM0/nU0V369attWLFCvdybm6u8vLy1KpVqxLtfv31V916660aPny4HnzwwUr1GRUVdcaiHqV17NjR2yGghmFMwZMYT+YjZ+JMeO7B0xhT8DRvjymfKrrj4+P16KOPauXKlerXr5+Sk5OVkJCgoKAgd5vCwkJNmDBBo0aN0j333FPpPi0WC9NJyojzBE9jTMGTGE/mI2fiTBgT8DTGFDzN22PKp35YMSgoSCkpKUpNTVVcXJwyMjI0ffp0ZWZmymazKTMzU59//rnS09P10ksvyWazuf998skn3g4fAAAAAIASfOpKtyR16tRJH374Yan1aWlpkqRmzZrp6quvruqwAAAA4CNq228qA6jeeLUCAABAtVJbflNZ4neVgZqAohsAAADVTm34TWWJ31UGagKf+k43AAAAAAA1CUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohtAlfMLCFCR0+XtMKpMbTpWAAAAlMTdywFUOX9LgOpY/DX+xc9U4Cj2djimCrYG6Pk7+ns7DAAAAHgJRTcArylwFNf4ohsAAAC1G9PLAQDVWm37uoLEVxYAAKhOuNINAKjWatPXFSS+sgAAQHVD0Q0AqBH4ugIAAPBFTC/HedW2qZu16VgBAAAAmIsr3Tiv2jR1k2mbAAAAADyJohtlxtRNAAAAACgfppcDAAAAAGASim4AAAAAAExC0Q0AAAAAgEkougEAAAAAMAlFNwAAAAAAJvG5onvLli0aNmyYoqOjNWbMGGVnZ5+1bVpamgYPHlyF0QEAAAAAUHY+VXTb7XYlJiYqMTFRGzduVEREhObOnXvGth9//LHGjx8vp9NZxVECAAAAAFA2PlV0r1+/XuHh4RowYICsVquSkpK0atUq5efnl2j38ccfa8mSJbrrrru8FCkAAAAAAOcX4O0ATpeenq7IyEj3clhYmEJCQrRv3z61bdvWvb5bt24aPHiwNm/eXOk+nU5nha6WWyyWSvcN3+WNGRSMqZqNMQVPq+iYqsy4IGfiTHh9g6cxpuBp3siZp/Opojs/P1+BgYEl1gUHB8tut5dY17BhQ4/1uWvXrnJv4+/vL5vN5rEY4Hu2bdsml8tVZf0xpmo+xhQ8raJjKiYmpsJ9kjNxJry+wdMYU/A0b+TM0/lU0R0cHCyHw1FiXUFBgUJCQkzrMyoqytT9o3rq2LGjt0NADcOYgqd5Y0yRM3EmvL7B0xhT8DRvjymfKrpbt26tFStWuJdzc3OVl5enVq1amdanxWJhOglKYUzA0xhT8DRvjClyJs6EMQFPY0zB07w9pnzqRmrx8fHKysrSypUr5XA4lJycrISEBAUFBXk7NAAAAAAAys2niu6goCClpKQoNTVVcXFxysjI0PTp05WZmSmbzabMzExvhwgAAAAAQJn51PRySerUqZM+/PDDUuvT0tJKrYuLi9OaNWuqIiwAAAAAAMrNp650AwAAAABQk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABM4nNF95YtWzRs2DBFR0drzJgxys7OLtXm8OHDGjNmjGw2m4YMGaK0tDQvRAoAAAAAwLn5VNFtt9uVmJioxMREbdy4UREREZo7d26pdlOnTlXbtm21YcMGjR8/Xvfff7+cTqcXIgYAAAAA4Ox8quhev369wsPDNWDAAFmtViUlJWnVqlXKz893tzl58qTWrl2riRMnymq1avjw4apXr56+//57L0YOAAAAAEBpAd4O4HTp6emKjIx0L4eFhSkkJET79u1T27ZtJUn79u1TgwYNVK9ePXe7yMhI7dmzRz169Ch3n06ns0JXyS0WiyxBweXerjryDwqSJAVbfWq4mOLUMXpj5gRjqmZiTJmvNo0nqfJjymKxVLhvcub51abxyOtb1WBMVY3aMqZq03iSvJszT+dnGIbhkT15wLPPPquMjAzNmTPHva5Pnz5KTk5WdHS0JGnz5s165JFH9Pnnn7vbPPzww7r00ks1fvz4MveVn5+vHTt2VChOPz8/dbj8cln//6CtDYqKnaoT4JlB5+vshQ5t/99PqsqnBmOqZmNMma82jSepcmMqJiam3NuQM8unNo1HXt+qBmPKXLVtTNWm8SRVfc48E5/6iCM4OFgOh6PEuoKCAoWEhJRoU1hYWKKN3W4v0aY8oqKiKrxtbfoeub9f7TneOgEWderUySt915ZzLDGmqkptOce1aTxJ3htT5MyyqU3jkde3qsGYqhq15RzXpvEkeXdMneJTRXfr1q21YsUK93Jubq7y8vLUqlUr97qIiAjl5ubq5MmTCg0NlST99ttvuuGGGyrUp8Vi8di0AQAAajJyJgAA5edTN1KLj49XVlaWVq5cKYfDoeTkZCUkJCjotKkeoaGh6tGjhxYvXiyHw6GPPvpIubm5io2N9WLkAAAAAACU5lNFd1BQkFJSUpSamqq4uDhlZGRo+vTpyszMlM1mU2ZmpiRp1qxZ2rt3r7p166YXX3xRzzzzjKxWq5ejBwAAAACgJJ+6kVpVOnVTmHbt2lX4+2kAANQG5EwAACrOp650AwAAAABQk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJfKro3rNnj/76178qOjpaI0eO1K+//nrO9vv27VPXrl2rKDoAAAAAAMrHZ4puwzB03333aciQIdq4caP69++vxx577Kztv/vuO40ePVonT56swigBAAAAACg7nym6d+/erUOHDumWW26R1WrVuHHjtGfPHu3du7dU2x9++EGTJ0/WxIkTqz5QAAAAAADKKMDbAZySnp6uyMhI+fn5SZL8/f3VokUL7dmzR5GRkSXaXnzxxVq9erUOHz5c6X6dTqecTmel9wMAQHVgsVgqvC05EwBQm1QmZ56uyovub775RuPGjSu1vlWrVmratGmJdcHBwbLb7aXaXnDBBR6LZ9euXR7bFwAAvi4mJqbC25IzAQC1SWVy5umqvOju3bu3du7cWWr96tWr9fLLL5dYV1BQoJCQEFPjiYqKMr0PAABqAnImAADl5zPTy1u3bq309HQZhiE/Pz+5XC5lZGTo4osvNrVfi8XisWkDAADUZORMAADKz2dupHbZZZepUaNGeuWVV+RwOPTCCy+oZcuWioiI8HZoAAAAAABUiM8U3ZK0ePFirV69WnFxcfryyy+1aNEi92M2m02bN2/2YnQAAAAAAJSPn2EYhreD8Ib8/Hzt2LFD7dq14/tpAACcAzkTAICK86kr3QAAAAAA1CQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACYJ8HYA3uJyuSRJBQUFXo4EAICqFRQUJH//sn/uTs4EANRW5c2ZZ1Jri+7CwkJJ0t69e70bCAAAVaxdu3YKCQkpc3tyJgCgtipvzjwTP8MwDA/FU60UFxfr2LFjCgwMrPQnFwAAVCfl/dSenAkAqK08caW71hbdAAAAAACYjY+rAQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN2QJKWnp3s7BKBaOHjwoBwOh7fDAOBjyKNA2ZBHaya73a7ff//d22H4LIpuaPv27Ro5cuRZH9+8ebN69OhhagyGYSgpKUmdOnXSjTfe6JF9LlmyRHfeeWep/1c3o0eP1ksvvVTq/ygpISFB+/fvN7WP7OxsXXXVVTp58qQkadKkSZoxY4ZH9v3pp58qISGhUvvYsGGDbDZbhbb96KOPNGLEiEr1Xxn79+9XmzZtdPTo0Srtd9myZRo6dGiV9omahzzq28ijZUMerd551Nv+9re/aevWrd4Ow2cFeDsAeN+JEydUVFR01sdjY2O1bt06U2P4/ffftXLlSn388ce69NJLTe0LqCi73a78/Hxvh2GKv/zlL/rLX/7i7TCAaok8CpQNebTmys3N9XYIPo0r3dXU/v37ZbPZ9MYbb6hnz56KiYnR008/rRUrVighIUExMTGaNWuWu/2xY8c0efJk9ezZU7169dLs2bNVWFioQ4cOady4ccrPz5fNZlNmZqZGjx7tbjty5MhSn/p98cUX+stf/iKbzaZhw4bp22+/PWOMNpvtjP82b95cot1vv/2mQYMGSZJGjhypd955R8XFxVq8eLH69Omjrl276vbbb9dvv/0mSbr22mv13nvvSfrjk/3u3bvrySefdO/vhhtu0IcffnjWc5eRkaErr7xSzz333DnPzanYbr75ZsXGxqpfv36aM2eOnE7nef8+S5Ys0cMPP6x7771XNptNAwcO1KZNmzR58mR17txZCQkJJc7bG2+8ob/85S+KjY1VXFycpk+fLsMwztlHXl6eZs6cqZ49eyo+Pl5///vf9fvvv8vlcqlbt25av369JOnkyZNq3769Xn/9dfe2vXv31ubNm5WWlqbrr79esbGxGjx4sPucnM+5ttuzZ4/GjBmjzp07q3fv3lq6dKn7sY8//ljDhg1T586dde211+rrr792P5aQkKBp06YpPj5eiYmJkv4Ya8OHD1dMTIxGjBhRauyUVZs2bfTOO+8oISFB0dHRmjZtmr777jsNHjxYNptNf//731VcXCxJKiws1JNPPqk+ffqoe/fueuSRR3Ts2DFJ0vDhwyVJ/fr1c8dy8OBBjR8/Xl26dNGgQYPc512SvvvuO40YMUKdO3fWVVddpQ8++MD92PHjx5WUlKTOnTtrwIAB2rJlS5mP5/fff9e9996rmJgYde/eXfPnz5fL5ZL0x3NiyZIl6tOnj2JjYzVv3jz3dtnZ2XrooYfUrVs39ezZU1OnTtWJEycklb7i+95772nQoEGy2WwaOXKkfvrpp/Oenz+74447zvgakJqaetZje/PNN3XllVeqT58+euaZZ9zHdbbxLv1xZWLIkCFasGCB4uPj1aNHD82dO7dMxy1JRUVFmjZtmuLi4jR06FB99tln7sfS09M1YcIExcXFqU+fPlqwYAHTImsI8ih5lDxaduTRP/hyHnW5XJo1a5Z69Oihbt26aezYsdq7d69+/vlnXXHFFbLb7ZKkr776Sm3atNGuXbskSXv37pXNZpPD4Tjnc1mS3n33XQ0ePFixsbEaPXq0fvnlF0nShAkTlJmZqYcffvicOb5WM1AtZWRkGFFRUcajjz5qFBYWGl9//bURFRVl3HXXXcbJkyeNn376yWjXrp3x3//+1zAMw7jzzjuNe++91zh+/Lhx5MgR45ZbbjFmz55tGIZhfP/990Z0dLR73zfffLMxYMAA48iRI8bx48dLPP7LL78YHTp0MFavXm04nU7j008/NTp27Gjk5OR45HiOHDliGIZhPPXUU8agQYOMX3/91SgsLDQWLVpk9O3b18jLyzMWL15s3HfffYZhGMaOHTuMjh07Gtdee61hGIaRk5NjdOjQwcjNzTUWL15sjB8/3jAMw/3/zMxMo2/fvsYLL7zg7vtc5+bOO+80Fi9ebLhcLuPAgQNGr169jK+//vq8x7N48WKjXbt2xjfffGM4nU7j/vvvN9q1a2e8//77hsPhMObOnWsMHTrUMAzD2Lx5s9GlSxdj165dJY7pu+++c/89XnzxxVL/v//++41Ro0YZBw8eNE6ePGlMmjTJGDFihOF0Oo1HHnnEWLBggWEYhrFmzRqjY8eOxj333GMYhmFs377diI+PN5xOpzF06FDjvffec/drs9mM3bt3n/f4zradw+Ew+vbta8ybN88oLCw0fvnlFyMuLs746quvjLVr1xodO3Y01q5daxQXFxuff/650bFjR2P79u2GYRhG3759jRtvvNE4efKkcfz4cWPbtm1GdHS08d133xlFRUXGypUrjc6dOxsHDx48Y0x9+/Y1MjIyzvhYVFSUcccddxgnTpwwdu7cabRr184YNWqUceTIESMjI8Po0qWL8emnnxqGYRgzZ840brzxRuP33383Tpw4Ydx///3GxIkTDcMoPU4feeQRo1OnTsamTZsMp9NpzJkzxxg4cKBhGIaxe/duo3379sb7779vFBUVGZs3bzZiY2ONL774wjAMw7jvvvuMsWPHGsePHzf27dtnDBw40Ojbt+95z71hGMaoUaOMBx54wDhx4oRx8OBBY+DAgcYbb7xhfP/990ZUVJQxZ84cw+FwGNu2bTMuv/xyY+vWre7t7r77buPYsWPG0aNHjdtvv9249957DcMwjP/85z/GkCFDDMMwjG+//daw2Wzu43r55ZeNnj17GkVFRec8P5Vx6tzec889xokTJ4w9e/YYvXv3Nv79738bhnHu8X7quBcuXGg4HA5j48aN5TruqKgo4/nnnzccDofxxRdfGO3btzf27NljFBYWGgkJCcb06dON/Px848CBA8a1115rzJ07t9LHC+8jj5JHyaMlkUerdx799NNPjaFDhxrHjx83HA6HMWnSJOP+++83DOOPv+0333xjGIZhzJ492+jYsaPx2muvGYZhGEuXLnWP7XM9l1etWmV0797d+OmnnwyHw2G8+uqrRq9evYz8/Hx3HytXrqz0cdRUXOmu5saOHSur1er+rtjNN9+sunXrqn379rrooouUmZmp7Oxsffnll3rsscdUr149NWzYUPfdd5/efffds+63T58+atiwoerVq1di/SeffKKuXbtqwIAB8vf316BBg/Taa68pKCjIo8f1wQcf6K677lLr1q1ltVqVmJiooqIirV+/Xn379tV3330nwzD03Xff6dprr9Xu3bt17NgxrV27VjabTfXr1y+1z+zsbN16663q27ev7rjjDve6c52bCy64QOvWrdOaNWtUr149ffXVV+rdu3eZjqF9+/bq1auX/P39FR8fr0aNGumaa65RnTp11Lt3bx04cECSdPnll+uDDz7QZZddpqNHj+rEiROqV6+eDh06dNZ9FxYWatWqVXrwwQcVHh6uunXrasqUKfrf//6nXbt2qW/fvu6pjOvXr9fIkSO1ceNGGYahr7/+Wn369JG/v78uuOACrVq1Sl9//bUiIyO1efPmMk1LPNt2W7duVW5urpKSkmS1WnXJJZfoX//6l6644gp9+OGHGjp0qHr27CmLxaKEhAQlJCSU+NR60KBBqlu3rurVq6f33ntPQ4cOVbdu3RQQEKDBgwcrOjpay5cvL9P5/7Obb75ZoaGhioqKUuPGjXX99derYcOGatGihS677DJlZmbKMAy9++67evDBB9W4cWOFhoZq0qRJ+uyzz876XeN+/fopNjZW/v7+GjhwoDIyMiRJK1asUGxsrK655hoFBAQoJiZGo0aN0n/+8x85HA6tXr1aiYmJqlevnlq2bOkek+ezf/9+paWl6ZFHHlFoaKjCw8P1/PPPu7/H5u/vr/vuu0916tTRFVdcoRYtWmjfvn3at2+f0tLSNGXKFF1wwQVq0KCBJk+erFWrVpW46itJy5cv19ChQ93Hdcstt2jx4sUVOj/l9fDDDys0NFQXX3yxbrrpJq1YseK84/2UCRMmqE6dOurSpYtatGih9PT0Mh138+bNdccdd6hOnTrq27ev4uLitHLlSm3ZskVHjhzR5MmTFRwcrGbNmikpKUn/+c9/PHKs8A3kUfIoebRsyKO+nUcvuOACZWZm6j//+Y8OHDig2bNna+HChZLkfs5L/zeeN2zYIEn65ptv1K9fv/M+l//9739r9OjRat++verUqaNbbrlFISEh+uqrryoVd23Bd7qruQYNGkiSLBaLJJVI7v7+/nK5XMrMzJQkDRkypMS2xcXFys7OPuN+L7roojOuP3z4sJo2bVpiXadOnc7YNjY29ozrU1NTz/rYKUeOHFHz5s3dy/7+/mratKmysrKUkJCgOnXqaMeOHVq3bp1uueUW/fzzz9q0aZO++uor9evX74z7/Omnn9SzZ099/vnnuu+++xQaGnreczNt2jQtWbJE8+bNU1ZWlnr16qV//OMfCg8PP2f80v/9baQ//j4XXHBBieMx/v+0N4vFoueff16ffvqpwsLC1L59e7lcLvc0pzM5duyYioqK1KJFC/e6unXrqkGDBsrKylKPHj300EMPKScnR+vWrdMzzzyj1atXa+fOnfrqq6/ciSk5OVn//Oc/NWXKFB07dkxXXXWVpk6dqtDQ0HMe29m2y87OVqNGjVSnTh1328suu0ySdPToUcXExJTYT/PmzbVv3z738unjLjMzUxs2bNDKlSvd65xOpyIjI88Z29n8+e9xpufK0aNHZbfbNW7cOPn5+bkfDwwM1P79+9WwYcNS+z39jWmdOnXc0yaPHj1aYgxLfxzvd999p5ycHBUVFalJkybux07/W55Ldna2AgIC1LhxY/e6iIgISX9MhQ4KClJgYGCpmI4cOaKAgIAz9pmVlVWij8OHD5d4jlosFtlsNh05cqRc5+fOO+8843S/8ePHa/z48Wc8vtPPWXh4uA4fPnze8R4SEuL+d/pxu1yuMh1306ZNSxxPkyZNdPjwYR05ckSNGzeW1WotEd+xY8eUl5enunXrnvEYUL2QR8mjp5BHz4086tt5tFu3bpo+fbreeustLViwQM2bN9fDDz+sfv36qW/fvpo3b54OHz6snJwc3XTTTbrhhht08uRJbd26VQsXLnR/2HG253JmZqZSU1P14osvlnjs1GsAzo2iuxYIDw+Xn5+fvv76a/ebxIKCAv3++++68MILtWfPnlLbnP5CcLomTZqUujPhM888o8GDB+uSSy4psb6i3xuSpGbNmmn//v3uF6xTb3oaNWokPz8/9e3bV19++aW2bdum2NhYxcfH67vvvtO3336rpKSkM+6zR48eeuGFF/S3v/1N8+bN04wZM857bjZv3qy7775bkydPVnp6uqZMmaJFixaV+L7o2ZztHP7ZK6+8ov/+979atWqVO/H07NnznNs0atRIVqtV+/fvd7/4nzx5Ujk5OWrUqJFCQ0PVpUsXvf/++zp58qQuueQS99W7nTt3qkePHioqKtLu3bs1bdo0Wa1W/fzzz7r//vu1dOlS3XvvvWft+1zbdevWTYcPH1ZxcbECAv54efnoo49Uv359NW3atNRdUTMyMtSoUaMznrPw8HDddNNNeuSRR0q0P9PVl7Ioy9+jQYMGslqtevvtt91vcoqLi5Wenq6IiAgdPHiwzP01bdpU33//fYl1GRkZaty4sbufAwcOuN94nuuKzOmaNGniToCnzt3XX3+t3NzcEm8E/qxZs2YqLi5WVlaW+w1/RkaG/Pz8SvwNTvVx+rEahqF58+bp9ttvP+f5+bOyfrfxdIcPH3afkwMHDqh58+bnHe/nuilPWY778OHDJbY5cOCAevTooaZNm+rw4cNyOBzuwnv//v0KCQmh4K5lyKN/II+SR8+HPPp/fVR1Hs3IyFBUVJTefPNNnTx5Um+++aaSkpK0ZcsWde3aVQcOHNDy5csVFxen1q1bKzg4WC+//LKuuOIKNWjQQA6H45zP5VPj6aabbnL3uXfv3hIfXuDsmF5eC4SHh7tvLHTy5Enl5+fr8ccfV2Jiovz8/BQYGKiioiL3DRbO5eqrr9amTZv05ZdfyuVyac2aNVq6dGmJTz894brrrlNKSop+++03ORwO/fOf/5RhGO4k2rdvX7322mu67LLLVLduXXXr1k3Lli1TeHi4WrZsecZ91qlTR/7+/po5c6aWLVum9evXn/fcLFy4UIsWLZLD4VCjRo1ksVgUFhbm0WM9fvy46tSpo4CAANntdj3zzDM6fPjwOe+E6+/vr2uuuUYLFizQoUOHlJeXp9mzZ+viiy9Whw4d3OfoueeeU7du3ST98Qnoq6++qvj4eAUHB8tisejRRx/V0qVL5XQ6ddFFF8nf3/+8x3eu7Tp27KiLLrpIS5YskcPh0J49ezRv3jz5+/vr2muv1ccff6xvv/1WTqdTX3zxhftmQmdy7bXXatmyZUpLS5NhGNqyZYuGDx/ung5lhlNxLly4UEePHpXD4VBycrJuueUWFRcXuz/5PvVTJ+cydOhQ/fDDD/rggw9UXFysLVu26N1339Xw4cNltVo1dOhQLVq0SDk5OTp48GCZf8KmSZMm6tq1qxYsWKCCggIdOnRI8+bNU0FBwTm3OzXWZ8+erePHjysnJ0dz585Vr169Sn2yPnz4cK1YsUI//PCDXC6X/vWvf2nlypUKCws75/nxhIULFyovL08///yz3njjDY0YMaJM470yx52enq433nhDDodDn3zyiX788UcNHTpUHTt2VPPmzTVnzhwVFBQoKytL//znP903AkLtQR79A3mUPHo+5NE/eCOPrl+/XnfffbcOHDigunXr6oILLlBoaKgCAgLcX6F57rnnFB8fL0mKj4/Xyy+/7J7Zcr7n8vXXX69XXnlFu3fvlmEY+uyzzzR06FD3DRqtVmupafb4PxTdtcT8+fPlcDg0ePBgXXnllTp27JieffZZSVJUVJQ6dOigbt26afv27efcT2RkpJYsWaJ//vOfio2N1bPPPquUlJQzTheqjNtvv11DhgzR7bffrri4OP3www9aunSpe7pWt27dVFhY6H7hsNlsMgyjTL/PeNlll2ncuHF67LHHlJeXd85zM2/ePO3du1fdu3dXnz59dOGFF+qee+7x6LGOHTtWdevWVc+ePdWvXz/99ttvSkhI0O7du8+53aRJk9S+fXuNGDFCvXv31vHjx/XCCy+4P4nu27evcnNz3eeoW7duKigoKPGdpcWLF+uLL75Q165ddfXVVysuLk433HDDOfs913ZWq1WpqanuKYjjxo3T3XffrV69eikmJkZz5szRk08+qdjYWC1atEgLFy5UdHT0GfuJiYnRzJkz9fjjjysmJkaPPPKI7r//fg0YMKCcZ7h8Jk+erJYtW+raa69Vt27d9OOPP+rFF19UUFCQGjVqpL59+2rYsGH6/PPPz7mfli1bKjU1Va+//rq6dOmiyZMn64EHHtDVV18tSZo6dapatGih/v3768YbbzzvVZnTPfXUUyooKFDfvn11/fXXa/Dgwef9u0nSggULFBQUpMGDB2vQoEFq3LixFixYUKpd165dNXXqVE2ePFmxsbFatWqVnn/+eQUEBJzz/HjCxRdfrL59++quu+7SnXfe6b4j8/nGe2WOu1OnTtq0aZPi4uL03HPPKSUlRU2bNlWdOnWUmpqqrKws9enTR9dff737b4nahzz6f8ij5NFzIY96J4+OGDFCAwcO1KhRo9S5c2f9+9//1pIlS+Tv/0e59+fxHB8fX2I8S+d+nRs6dKjGjh2re++9V507d9aiRYs0b94894dU1113nWbPnq358+dX6jhqKj/DOM/vKQBANZCQkKDXXnutzN/pAgAA/4c8CpiHK90AAAAAAJiEG6kBFdCjR4+z3rypTZs2evvtt6s4Is/Jyck55/TCvn376qmnnqrCiGqXzz77TA899NBZH3/wwQdL3MQEAKoj8ih51CzkUfgippcDAAAAAGASppcDAAAAAGASim4AAAAAAExC0Q0AAAAAgEl8rujesmWLhg0bpujoaI0ZM0bZ2dklHs/MzJTNZivxr23btkpNTS1XPy6XS/n5+XK5XJ4MHwCAGoecCQBAxflU0W2325WYmKjExERt3LhRERERmjt3bok2zZo1U1pamvvfM888o+bNm+vGG28sd187duyQ3W735CEAAFDjkDMBAKg4nyq6169fr/DwcA0YMEBWq1VJSUlatWrVWX9SwuFwaMqUKXr88cdVv379Ko4WAAAAAIBz86miOz09XZGRke7lsLAwhYSEaN++fWds/9Zbb6l169bq3bt3FUUIAAAAAEDZBXg7gNPl5+crMDCwxLrg4OAzTmdzuVx67bXX9MQTT1SqT6fTKafTWal9AABQXVgslgpvS84EANQmlcmZp/Opojs4OFgOh6PEuoKCAoWEhJRqu3XrVklSXFxcpfrctWtXpbYHAKA6iYmJqfC25EwAQG1SmZx5Op8qulu3bq0VK1a4l3Nzc5WXl6dWrVqVart27Vr179+/0n1GRUWdsagHAAAlkTMBACg/nyq64+Pj9eijj2rlypXq16+fkpOTlZCQoKCgoFJtf/rpJ11zzTWV7tNisXhs2gAAADUZORMAgPLzqRupBQUFKSUlRampqYqLi1NGRoamT5/u/m3uzMxMd9usrCw1atTIi9ECAAAAAHBufoZhGN4Owhvy8/O1Y8cOtWvXjqlyAACcAzkTAICK86kr3QAAAAAA1CQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEp8rurds2aJhw4YpOjpaY8aMUXZ2dqk2drtd06ZNU48ePdS7d2+9++67XogUAAAAAIBz86mi2263KzExUYmJidq4caMiIiI0d+7cUu1mz56t3NxcffbZZ3rhhRf05JNPau/evVUfMAAAAAAA5+BTRff69esVHh6uAQMGyGq1KikpSatWrVJ+fr67jcPh0PLlyzV16lQFBwerTZs2euedd9SoUSMvRg4AAAAAQGkB3g7gdOnp6YqMjHQvh4WFKSQkRPv27VPbtm0lSXv37lVoaKhWrFihV155RUFBQUpKStIll1xSoT6dTqecTqcnwgcAwOdZLJYKb0vOBADUJpXJmafzqaI7Pz9fgYGBJdYFBwfLbre7l48fP66jR4/qt99+06pVq7R9+3aNGzdObdq00cUXX1zuPnft2lXpuAEAqC5iYmIqvC05EwBQm1QmZ57Op4ru4OBgORyOEusKCgoUEhLiXrZarXI6nUpKSlJQUJA6d+6s7t27a926dRUquqOiokrsHwAAnBk5EwCA8vOport169ZasWKFezk3N1d5eXlq1aqVe12rVq3k5+enEydOqGHDhpKk4uJiGYZRoT4tFovHpg0AAFCTkTMBACg/n7qRWnx8vLKysrRy5Uo5HA4lJycrISFBQUFB7jZhYWHq3bu3kpOTVVhYqC1btuj7779X3759vRg5AAAAAACl+VTRHRQUpJSUFKWmpiouLk4ZGRmaPn26MjMzZbPZlJmZKUmaP3++/Pz81Lt3bz300EOaPXu2WrZs6eXoAQAAAAAoyc+o6Lzsai4/P187duxQu3bt+H4aAADnQM4EAKDifOpKNwAAAAAANQlFNwAAAAAAJqHoBgAAAADAJBTdAAAAAACYhKIbAAAAAACTUHQDAAAAAGASim4AAAAAAExC0Q0AAAAAgEkougEAAAAAMAlFNwAAAAAAJqHoBgAAAADAJBTdAAAAAACYhKIbAAAAAACTUHQDAAAAAGASim4AAAAAAExC0Q0AAAAAgEkougEAAAAAMAlFNwAAAAAAJqHoBgAAAADAJD5XdG/ZskXDhg1TdHS0xowZo+zs7FJtPv74Y7Vv3142m839LycnxwvRAgAAAABwdj5VdNvtdiUmJioxMVEbN25URESE5s6dW6rdzp07NX78eKWlpbn/NWjQwAsRAwAAAABwdj5VdK9fv17h4eEaMGCArFarkpKStGrVKuXn55dot3PnTkVFRXkpSgAAAAAAyibA2wGcLj09XZGRke7lsLAwhYSEaN++fWrbtq17/c6dO/Xee+9p1qxZatiwoe6//3717du3Qn06nU45nc7Khg4AQLVgsVgqvC05EwBQm1QmZ57Op4ru/Px8BQYGllgXHBwsu93uXnY4HGrZsqVGjhyphIQErV+/Xvfdd5+WLVtWomAvq127dlU2bAAAqo2YmJgKb0vOBADUJpXJmafzqaI7ODhYDoejxLqCggKFhIS4l61Wq/71r3+5l6+88kp17dpV69atq1DRHRUVVWL/AADgzMiZAACUn08V3a1bt9aKFSvcy7m5ucrLy1OrVq3c6w4dOqS33npLSUlJ7nVFRUWyWq0V6tNisXhs2gAAADUZORMAgPLzqRupxcfHKysrSytXrpTD4VBycrISEhIUFBTkblOvXj299dZbeu+99+RyubRmzRpt27ZN/fr182LkAAAAAACU5lNFd1BQkFJSUpSamqq4uDhlZGRo+vTpyszMlM1mU2ZmpkJCQvTss8/qzTffVExMjBYvXqynn35aDRs29Hb4AAAAAACU4GcYhuHtILwhPz9fO3bsULt27fh+GgAA50DOBACg4nzqSjcAAAAAADUJRXcFuYqLvR1ClaptxwsAAAAAnuBTdy+vTvwDArR5apKc9gJvh2I6S1CwYmcmezsMAAAAAKh2KLorwWkvkNNu93YYAHBGruJi+QfUjpf52nSsAACgeuEdCgDUULVlRg6zcQAAgC+j6AaAGowZOQAAAN7FjdQAAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEp8rurds2aJhw4YpOjpaY8aMUXZ29lnb5uTkqHv37tqwYUMVRggAAAAAQNn4VNFtt9uVmJioxMREbdy4UREREZo7d+5Z28+aNUs5OTlVGCEAAAAAAGXnU0X3+vXrFR4ergEDBshqtSopKUmrVq1Sfn5+qbZffPGFTp48qRYtWnghUgAAAAAAzi/A2wGcLj09XZGRke7lsLAwhYSEaN++fWrbtq17/fHjxzV//nwtXbpUo0ePrlSfTqdTTqez3NtZLJZK9VsdVeQ8oez8DJf8A+p4O4wq4youkuHnU5/71Ti17XWK16iyqcy4qGjOBACgOvLUeymfKrrz8/MVGBhYYl1wcLDsdnuJdXPmzNHo0aPVpEmTSve5a9eucm/j7+8vm81W6b6rm23btsnlcnk7jBrp1JjaPDVJTnuBt8MxnSUoWLEzk5WWlsaYMkltfJ3iNapsYmJiKrxtRXImAADVVWVy5ul8qugODg6Ww+Eosa6goEAhISHu5bVr12rfvn164oknPNJnVFRUif3j7Dp27OjtEGo8p71Azj99yFSTMabgSYwn85EzAQAoP58qulu3bq0VK1a4l3Nzc5WXl6dWrVq5161evVrbt29Xly5dJEl5eXmaMGGCZsyYoWHDhpW7T4vFUuumYFYU5wmexpiCJzGezEfOBACg/HzqC5Xx8fHKysrSypUr5XA4lJycrISEBAUFBbnbzJw5U2lpadq8ebM2b96sFi1aKDU1tUIFNwAAAAAAZvKpojsoKEgpKSlKTU1VXFycMjIyNH36dGVmZspmsykzM9PbIQIAAAAAUGY+Nb1ckjp16qQPP/yw1Pq0tLQztl+zZo3ZIQEAAAAAUCE+daUbAAAAAICahKIbAAAAAACTUHQDAAAAAGASim4AAAAAAExC0Q0AAAAAgEkougEAAAAAMAlFNwAAAAAAJqHoBgAAAADAJBTdAAAAAACYhKIbAAAAAACTUHQDAAAAAGASim4AAAAAAExC0Q0AAAAAgEkougEAAAAAMAlFNwAAAAAAJil30V1YWKhVq1Zp6dKlKigo0Pbt282ICwAAAACAai+gPI337NmjsWPHKiQkRAcPHlRCQoL++te/auHChRo0aJBZMQIAAAAAUC2V60r3jBkzNG7cOK1cuVIBAQGKiIhQcnKynn76abPiAwAAAACg2ipX0b1jxw7deOONkiQ/Pz9JUv/+/ZWZmen5yAAAAAAAqObKVXRfeOGF2r17d4l1v/zyiy666CKPBbRlyxYNGzZM0dHRGjNmjLKzs0u1+fHHH3XdddfJZrPp6quv1ldffeWx/gEAAAAA8JRyFd1jx47VHXfcoeeff15FRUV68803dffdd+u2227zSDB2u12JiYlKTEzUxo0bFRERoblz55Zo43K59Pe//1233Xab0tLSNGXKFCUlJamgoMAjMQAAAAAA4CnlupHayJEjVb9+fb377rtq1qyZPvvsMyUmJmrIkCEeCWb9+vUKDw/XgAEDJElJSUnq1auXZsyYoZCQEEmSv7+/PvnkE4WEhMjpdConJ0ehoaGyWCweiQEAAAAAAE8pV9EtSQMHDtTAgQPNiEXp6emKjIx0L4eFhSkkJET79u1T27Zt3etDQkJUXFys6OhoFRcXa9asWbJarRXq0+l0yul0lnu72ljkV+Q8oewYU/C02jamGE9lU5lxUdGcCQBAdeSp91LlKronT5581sfmzJlT6WDy8/MVGBhYYl1wcLDsdnupthaLRVu3btXWrVs1YcIEXXHFFWrTpk25+9y1a1e5t/H395fNZiv3dtXdtm3b5HK5vB1GjcSYgqfVxjHFeCqbmJiYCm9bkZwJAEB1VZmcebpyFd2npnifkpubq2+++UbXX3+9R4IJDg6Ww+Eosa6goKBUv9Ifd0+3Wq2Kj49Xz549tW7dugoV3VFRUWfcP0rr2LGjt0NADcOYgicxnsxHzgQAoPzKVXRPnTq11LoffvhBS5Ys8UgwrVu31ooVK9zLubm5ysvLU6tWrdzrcnJyNGrUKC1fvtx9VdzhcKhevXoV6tNisdS6KZgVxXmCpzGm4EmMJ/ORMwEAKL9y3b38TDp16qQffvjBA6FI8fHxysrK0sqVK+VwOJScnKyEhAQFBQW52zRo0ED169dXamqqnE6nvv76a/3444/q06ePR2IAAAAAAMBTynWl+3//+1+J5aKiIi1fvlwtW7b0SDBBQUFKSUnRtGnT9Oijj6pz586aP3++MjMzNWTIEH388cdq1qyZnnrqKU2dOlVxcXFq1aqVUlJS1LhxY4/EAAAAAACAp5Sr6P7zd7f9/f0VGRl5xmnnFdWpUyd9+OGHpdanpaW5/9+yZUu98sorHusTAAAAAAAzlKvo/vnnn82KAwAAAACAGqdMRfefp5WfSfv27SsdDAAAAAAANUmZiu7z/SSYn5+fduzY4ZGAAAAAAACoKcpUdDOtHAAAAACA8ivXd7olqaCgQMeOHZPL5ZL0xx3Md+/erf79+3s8OAAAAAAAqrNyFd3vvvuuZs2aJYfDUWJ9s2bNKLoBAAAAAPiTchXdKSkpmjp1qgIDA/Xdd9/pzjvv1Lx583T55ZebFR8AAAAAANWWf3ka5+TkaMSIEYqNjdWuXbsUGRmpmTNnatmyZWbFBwAAAABAtVWuovuiiy7SiRMn1KRJE+3fv18ul0sNGzZUbm6uSeEBAAAAAFB9lWt6ec+ePTVu3DilpKTIZrNp5syZslqtatGihVnxAQAAAABQbZXrSnf37t3Vq1cvWSwWTZs2TRkZGfrhhx80a9Yss+IDAAAAAKDaKteV7tmzZ8tut+vYsWO67rrr9OKLL5oVFwAAAAAA1V65rnR/8cUXWrx4sex2u2699VYNHz5cr776qo4ePWpWfAAAAAAAVFvlKrolKTY2VjNmzNC3336rCRMm6NVXX1Xv3r3NiA0AAAAAgGqtXNPLJcnlcmndunVavny5Pv/8c0VFRemuu+4yIzYAAAAAAKq1chXdM2fO1KeffqrAwEANGzZMy5YtU0REhFmxAQAAAABQrZWr6D527Jjmz5+vbt26yc/Pz6yYAAAAAACoEcpVdC9YsMCsOAAAAAAAqHHKfSM1AAAAAABQNj5XdG/ZskXDhg1TdHS0xowZo+zs7FJttm/frhtuuEExMTG66qqr9Nlnn3khUgAAAAAAzs2nim673a7ExEQlJiZq48aNioiI0Ny5c0u0cTqduvvuu3X99ddr06ZNevzxx/XII4/owIEDXooaAAAAAIAz86mie/369QoPD9eAAQNktVqVlJSkVatWKT8/390mOztbHTp00MiRI+Xv76/4+HhFRERox44dXowcAAAAAIDSfKroTk9PV2RkpHs5LCxMISEh2rdvn3tdeHi4lixZ4l7OzMzUnj171KZNm6oMFQAAAACA8yrX3cvNlp+fr8DAwBLrgoODZbfbz9j+2LFjmjhxokaNGqWWLVtWqE+n0ymn01nu7SwWS4X6q84qcp5QdowpeFptG1OMp7KpzLioaM4EAKA68tR7KZ8quoODg+VwOEqsKygoUEhISKm2mZmZuuOOO9SpUydNmjSpwn3u2rWr3Nv4+/vLZrNVuM/qatu2bXK5XN4Oo0ZiTMHTauOYYjyVTUxMTIW3rUjOBACguqpMzjydTxXdrVu31ooVK9zLubm5ysvLU6tWrUq0+/XXX3Xrrbdq+PDhevDBByvVZ1RU1BmLepTWsWNHb4eAGoYxBU9iPJmPnAkAQPn5VNEdHx+vRx99VCtXrlS/fv2UnJyshIQEBQUFudsUFhZqwoQJGjVqlO65555K92mxWGrdFMyK4jzB0xhT8CTGk/nImQAAlJ9P3UgtKChIKSkpSk1NVVxcnDIyMjR9+nRlZmbKZrMpMzNTn3/+udLT0/XSSy/JZrO5/33yySfeDh8AAAAAgBJ86kq3JHXq1EkffvhhqfVpaWmSpGbNmunqq6+u6rAAAAAAACg3n7rSDQAAAABATULRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAm8bmie8uWLRo2bJiio6M1ZswYZWdnn7VtWlqaBg8eXIXRAQAAAABQdj5VdNvtdiUmJioxMVEbN25URESE5s6de8a2H3/8scaPHy+n01nFUQIAAAAAUDY+VXSvX79e4eHhGjBggKxWq5KSkrRq1Srl5+eXaPfxxx9ryZIluuuuu7wUKQAAAAAA5xfg7QBOl56ersjISPdyWFiYQkJCtG/fPrVt29a9vlu3bho8eLA2b95c6T6dTmeFrpZbLJZK913dMKvAXIwpeFptG1OMp7KpzLioaM4EPM3PcMk/oI63w6gyRcVO1QmoHa/pRcVO+ft5OwrgD556L+VTRXd+fr4CAwNLrAsODpbdbi+xrmHDhh7rc9euXeXext/fXzabzWMxVBfbtm2Ty+Xydhg1Um0dUz/99FOtGFOGYcgwjCrtszaOKV6jyiYmJqbC21YkZwKedur1bfPUJDntBd4Ox3R16oep85QnNf7Fz1TgKPZ2OKYKtgbo+Tv6Ky0tjddz+ITK5MzT+VTRHRwcLIfDUWJdQUGBQkJCTOszKirK1P3XJB07dvR2CKgh/AICVOR0qVOnTt4OpUrwqX3V4DXKfORM+BKnvUDOP12YqYksgX8cY4GjuMYX3afweo6axqeK7tatW2vFihXu5dzcXOXl5alVq1am9WmxWGrdFMyK4jzBU/wtAapj8a9Vn9rDfLxGmY+cCaAq8DqDmsaniu74+Hg9+uijWrlypfr166fk5GQlJCQoKCjI26EBMEFt+tQeqM1cxcXyD/Cptxymqm3HCwA4N5/KCEFBQUpJSdG0adP06KOPqnPnzpo/f74yMzM1ZMgQffzxx2rWrJm3wwQAAOXgHxBQa75/awkKVuzMZG+HAaCcatOHZbXpWH2Fz53tTp066cMPPyy1Pi0trdS6uLg4rVmzpirCAgAAlVBbvn8LoHqqLR8O8sGgd/hc0Q0AAAAAVY0PB2EWf28HAAAAUFOc+nWG2qI2HSsAVBRXugEAADyEX2cA4MtOfTBYx1J7rr36wvFSdAMAAHgYv84AwBfVpg8GJd/5cJCiGwAAAABqET4YrFq1Z14BAKBGqm3foZX4Hi0AANUJV7oBANUaU+UAAIAvo+gGANQITJUDAAC+iOnlOK/aNnWzNh0rAAAAAHNxpRvnVZumbjJtEwAAAIAnUXSjzJi6CQAAAADlw/RyAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEp8rurds2aJhw4YpOjpaY8aMUXZ2dqk2hw8f1pgxY2Sz2TRkyBClpaV5IVIAAAAAAM7Np4puu92uxMREJSYmauPGjYqIiNDcuXNLtZs6daratm2rDRs2aPz48br//vvldDq9EDEAAAAAAGfnU0X3+vXrFR4ergEDBshqtSopKUmrVq1Sfn6+u83Jkye1du1aTZw4UVarVcOHD1e9evX0/fffezFyAAAAAABKC/B2AKdLT09XZGSkezksLEwhISHat2+f2rZtK0nat2+fGjRooHr16rnbRUZGas+ePerRo0e5+3Q6nRW6Sm6xWGQJCi73dtWRf1CQJCnY6lPDxRSnjtEbMycYUzUTY8p8tWk8SZUfUxaLpcJ9kzPPrzaNR17fqgZjqmrUljFVm8aT5N2ceTo/wzAMj+zJA5599lllZGRozpw57nV9+vRRcnKyoqOjJUmbN2/WI488os8//9zd5uGHH9all16q8ePHl7mv/Px87dixo0Jx+vn5qcPll8v6/wdtbVBU7FSdAM8MOl9nL3Ro+/9+UlU+NRhTNRtjyny1aTxJlRtTMTEx5d6GnFk+tWk88vpWNRhT5qptY6o2jSep6nPmmfjURxzBwcFyOBwl1hUUFCgkJKREm8LCwhJt7HZ7iTblERUVVeFta9P3yP39as/x1gmwqFOnTl7pu7acY4kxVVVqyzmuTeNJ8t6YImeWTW0aj7y+VQ3GVNWoLee4No0nybtj6hSfKrpbt26tFStWuJdzc3OVl5enVq1auddFREQoNzdXJ0+eVGhoqCTpt99+0w033FChPi0Wi8emDQAAUJORMwEAKD+fupFafHy8srKytHLlSjkcDiUnJyshIUFBp031CA0NVY8ePbR48WI5HA599NFHys3NVWxsrBcjBwAAAACgNJ8quoOCgpSSkqLU1FTFxcUpIyND06dPV2Zmpmw2mzIzMyVJs2bN0t69e9WtWze9+OKLeuaZZ2S1Wr0cPQAAAAAAJfnUjdSq0qmbwrRr167C308DAKA2IGcCAFBxPnWlGwAAAACAmoSiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABM4lNF9549e/TXv/5V0dHRGjlypH799ddztt+3b5+6du1aRdEBAAAAAFA+PlN0G4ah++67T0OGDNHGjRvVv39/PfbYY2dt/91332n06NE6efJkFUYJAAAAAEDZ+UzRvXv3bh06dEi33HKLrFarxo0bpz179mjv3r2l2v7www+aPHmyJk6cWPWBAgAAAABQRgHeDuCU9PR0RUZGys/PT5Lk7++vFi1aaM+ePYqMjCzR9uKLL9bq1at1+PDhSvfrdDrldDorvR8AAKoDi8VS4W3JmQCA2qQyOfN0VV50f/PNNxo3blyp9a1atVLTpk1LrAsODpbdbi/V9oILLvBYPLt27fLYvgAA8HUxMTEV3pacCQCoTSqTM09X5UV37969tXPnzlLrV69erZdffrnEuoKCAoWEhJgaT1RUlOl9AABQE5AzAQAoP5+ZXt66dWulp6fLMAz5+fnJ5XIpIyNDF198san9WiwWj00bAACgJiNnAgBQfj5zI7XLLrtMjRo10iuvvCKHw6EXXnhBLVu2VEREhLdDAwAAAACgQnym6JakxYsXa/Xq1YqLi9OXX36pRYsWuR+z2WzavHmzF6MDAAAAAKB8/AzDMLwdhDfk5+drx44dateuHd9PAwDgHMiZAABUnE9d6QYAAAAAoCah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADBJgLcD8BaXyyVJKigo8HIkAABUraCgIPn7l/1zd3ImAKC2Km/OPJNaW3QXFhZKkvbu3evdQAAAqGLt2rVTSEhImduTMwEAtVV5c+aZ+BmGYXgonmqluLhYx44dU2BgYKU/uQAAoDop76f25EwAQG3liSvdtbboBgAAAADAbHxcDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDcAnZGZmejsEAACqBXImUL1QdNdAGzZs0IABA7wdBlBm2dnZ+stf/lLu7fbv36/LL7/chIgA1BbkTFQ35Eyg+qHoBuB1drtd+fn53g4DKOG2227TsmXLvB0GAJRAzoQvImeeG0V3Dbdv3z717NlTL7/8sgYMGKCFCxcqJiZGgwYN0ubNmzVu3DjZbDbdfvvtstvtkqTff/9dd911l7p27aphw4Zp48aN7v19/fXXuu666xQbG6uePXvq9ddfl/THlYIbbrhBjzzyiGw2m6655hrt2LFDkpSRkaG//e1vio2N1ZAhQ/TRRx9V/YlAhTkcDj300EPq2rWrEhIS9OSTT2r//v3q3bu35s6dK5vNpmHDhmnr1q3ubb766isNGTJEcXFxSkpK0rFjx9yPvfLKK+rdu7e6du2qyZMnq6ioSLfeequcTqdsNptOnDihNm3aaNq0aerSpYvWrl2rH3/8UTfeeKPi4uIUFxenRYsWeeNUAKjhyJmoLHImgDMyUON8//33Rv/+/Y0jR44YAwcONN59910jIyPDiIqKMpKTkw2n02lMmjTJ6NChg7Fx40bjxIkTxqBBg4z333/fMAzDGD16tDFnzhyjsLDQ2LBhg9GtWzfjyJEjxokTJ4zY2Fhj69athmEYxrp164z27dsbJ06cML7//nsjKirKePvttw2Hw2HMmjXLuO222wzDMIz777/fWLx4sWEYhrF161aje/fuRlFRkVfODcrvnXfeMcaOHWsUFhYa2dnZRt++fY3t27cbUVFRxsyZM43CwkLjrbfeMrp3724UFBQYe/fuNWJiYoxNmzYZhYWFxhNPPGEkJSUZhmEYn3/+udG7d2/jl19+MU6ePGn87W9/M1566SUjIyPDaNeunbvPqKgoY8GCBUZBQYFRWFho9O3b1/jkk08MwzCMn3/+2bjiiiuMPXv2lNoO1cN//vMfY8iQIUZ0dLTRt29fY+XKlYZhGMZHH31k9O/f3+jcubMxYcIE4/jx42fdR3Z2ttGhQwcjPz/fMAzDeOqpp4yrr77a/fidd95pfPzxx0Z+fr7xyCOPGH379jU6duxojB492jh48KBhGIZx8803Gw8//LDRtWtX45///Kdx6NAh47bbbjOio6ONO++80xg5cqTxn//8x8QzAV9AzoQnkTPhaeTMmoEr3TVUYWGhxo8fr169emnEiBHu9bfffrv8/f3VuXNntWnTRl26dFFoaKg6duyogwcP6tChQ0pLS9P9998vq9Wqrl27qkuXLlq9erWCg4P1/vvvy2azKScnR5LkdDrdn8jWq1dPo0aNUp06ddS/f39lZGS413///fdau3at2rdvr2+//VYBAQFVf1JQIaGhofrll1/06aefKiAgQJ9//rnq1aungIAA3XfffbJarbrhhhsUFBSkrVu36pNPPtGAAQMUGxsrq9WqxMRErVq1Sna7XZ9++qlGjhypSy65RHXr1tWCBQs0ePDgM/Y7aNAgBQUFqU6dOnrllVd01VVX6eTJkzpx4oRCQ0OVnZ1dxWcCnrBv3z49+eSTWrJkibZu3aq77rpLs2bN0s8//6x//OMfmj9/vtavX6+goCAlJyefdT8XXnihLr30UqWlpUmSNm/erP379ysnJ0dFRUXasmWLunfvrhdeeEH5+flauXKl1q9frzp16rivNkp/3Izo66+/1tixYzVt2jS1bNlSGzZs0HXXXacff/zR7NMBH0HOhKeQM+FJ5Myag1fxGurQoUOKjIzUF198oQcffFCS5O/vr9DQUEmSxWJx///UYy6XSwcPHlRRUZG6d+/ufszpdKp169ayWCz65JNP9Nprryk0NFTR0dEyDEOGYUiSGjRo4N7GYrHI5XJJkh588EEtXLhQkydPVl5enm688UY98MADslgspp8HVN7VV1+tgwcP6rnnntOkSZN05ZVX6u6771aDBg1Ut25dd7vw8HAdOXJEBw8e1IoVK7RmzRr3YwEBAcrKytKRI0fUtWtX9/qmTZtK+uPmLn924YUXSpL8/Py0adMm3XbbbfLz89MVV1whp9PpHneoXpo0aaIPPvhATZs21eHDh2W1WnX48GGtWrVKAwYMUHR0tCRp6tSpJaZYnknPnj21YcMGxcbGKjMzU927d9fWrVt1wQUX6JJLLlFYWJhGjx4ti8Uii8Wi/fv3q379+iXefPbt21dBQUEqLCzU2rVr9fnnn8tqtWrgwIHq2LGjmacCPoScCU8hZ8KTyJk1B0V3DdWsWTO9+uqruvnmm5WamqoRI0bIz8/vvNs1atRIoaGh2rRpk7v9qSfd5s2b9frrr2vZsmW66KKLlJeXp/fff/+8+/zll1903333adq0adq2bZsmTpyouLg4XXnllZU+Tphv79696t+/v8aOHauMjAw9+uijevHFF5WbmyuHwyGr1SpJOnjwoMLDw9W4cWONGjVKU6ZMkSQZhqE9e/aoVatWaty4sX7//Xf3vn/88Uf99ttvio2NLdXvqfGXlZWlmTNnatmyZbr44oslSfHx8WYfNkxisVi0dOlSffTRR2rcuLGioqIkSUeOHFGTJk3c7Ro2bKiGDRuec189e/ZUcnKyevbsqSuuuEJXXHGFtmzZIqvVql69ekmScnNzNW3aNO3evVuXXXaZiouLFRERUaKfU+2Ki4vVuHFj92On3uCi5iNnwlPImfAkcmbNwfTyGiogIEB+fn6aMmWKXnnlFRUXF5dpu+bNm+vSSy9VamqqiouLtWfPHo0YMUI//vij8vLyZLFYVKdOHeXn52vhwoWSdN59p6Sk6Nlnn5XT6VSTJk3k5+ensLCwyh4iqsjnn3+uyZMn68SJE2rUqJGsVqsuv/xyFRUVKTU1VUVFRXrnnXdkGIaio6M1aNAgffLJJ/rf//4nl8ulpUuXaty4cTIMQ4MHD9Z7772njIwMnTx5UgsXLlRubq6sVqtcLpcKCgpK9Z+Xlyc/Pz9ZrVYVFRXpueeeU05OTpnHNHzLihUrtHHjRq1Zs0bLly/XnXfeKUml3lzu3btXr7766jn31blzZ/36669au3atYmJi1KVLF23dulXr1693v4H4xz/+oW7dumn9+vX617/+5b4qcMqpN6phYWGqU6eODh065H6M6Zi1BzkTnkLOhCeRM2sOiu4arl27dho+fLhmzpxZ5m2eeuop/fDDD+revbvGjh2ru+++Wz179lSvXr0UHx+vfv36aeDAgTIMQ23atNFvv/12zv1NmTJF//vf/xQXF6frr79et912mzp16lTZQ0MVGT16tFq2bKn+/furV69eatSokfr16yeLxaJjx46pR48e+ve//62UlBRZrVZddtllmj59uh566CHFxsZq1apVSklJUUBAgPr06aPRo0frlltuUb9+/XTppZdq9OjRaty4sbp3767u3buXmjZ3qs21116r3r17a+fOnerevft5xx1808mTJxUQEOAeP4sXL5YkDRw4UGvWrNH//vc/ORwOLVmy5IxTKE9Xp04d2Ww2vf3224qNjVWHDh3066+/6sCBA+rQoYO7P6vVKj8/P23btk0ffvihioqKSu0rMDBQ/fr10+LFi1VYWKivv/66xN2FUTuQM1FZ5Ex4Ejmz5vAz+JIHgHLav3+/Bg4cqO3bt3s7FFQz+fn5uv/++7Vx40aFhoZqxIgRevPNN/Xaa69p586dWrJkiY4ePapevXpp1qxZJb4DeSZvvPGGFi5cqE2bNslisWjMmDG68MILtWDBAknSpk2bNGXKFB0+fFitWrVSjx49tH79ei1btkyjR4/WiBEjNHz4cElSTk6OJk2apI0bN6p9+/ayWq0aOnSorrvuOtPPC4Cai5yJiiJn1hwU3QDKjTcQAACUDTkTANPLAQAAAAAwCVe6AQA+aefOnbrhhhvO+Fi9evX0zTffVHFEAAD4JnKmb6PoBgAAAADAJEwvBwAAAADAJBTdAAAAAACYhKIbAAAAAACTUHQDtdjBgwflcDi8HUaVKC4u1oEDB7wdBgCgmiJnAqgoim6gGlqyZInuvPPOSu0jOztbV111lU6ePFmh7e+44w699tprlYqhKt1///369NNPJUkbNmyQzWbz2L5tNps2bNjgsf0BADyHnFl+5EzAswK8HQAA77Db7crPz6/w9i+++KIHozFfTk6Ot0MAAFRT5EwAlcGVbsDHpaWladSoUbLZbBowYIA++uijEo//+RP8o0ePqk2bNtq/f78kKTU1VVdeeaXi4uJ044036scff5QkDR8+XJLUr18/bd68WU6nU88//7z69++vuLg43XXXXTp48KCkPz7lHjRokO666y516dJFq1ev1ujRo/XSSy9JkkaPHq1Fixbp+uuvl81m04gRI7Rjxw53TKmpqerZs6d69uyphQsXKiEhoUyfck+aNElz587V6NGjFR0drWuuuUbbtm3TxIkTZbPZNGTIEG3fvt3d/osvvtDw4cMVExOjESNGaPPmzZKkGTNmaPPmzVq0aJGmTZsmSTIMQ0uWLFGfPn0UGxurefPmufeTnZ2thx56SN26dVPPnj01depUnThxwv34G2+8oSuvvFKxsbFKTk4+73EAAKoGOZOcCfgiim7Ahx09elTjxo3TsGHDtGnTJs2dO1dTp07V7t27y7T9Tz/9pH/961969913tX79esXHx2vOnDmSpA8//FCS9Pnnnys2Nlavvfaa3n//fb300kv65ptv1Lp1a02cOFEul0uStHfvXnXr1k3r1q1T7969S/X1/vvva/78+Vq3bp2aNGmiBQsWSJI++OADvf7663r55Zf12WefKScnp1zfE3v33Xc1adIkbdy4UaGhobrppps0evRobdiwQW3atNHixYslSf/973/1wAMPaNKkSdqwYYPuuOMO3XnnnTp06JCmTZum2NhY3XfffZoxY4YkqaCgQHl5eVqzZo2WLl2qV199VWlpaZKke+65RwUFBVq1apWWL1+urKwsPfbYY5KktWvX6qmnntKSJUv03Xff6cSJE5W6+gEA8AxyJjkT8FUU3YAP++qrr9SoUSPdfPPNCggIUExMjN566y01adKkTNuHhobqxIkT+ve//61du3bp3nvv1dtvv33Gtv/+9781ceJERUREKDAwUPfff79+++03/fTTT+4211xzjaxWq4KCgkptP3ToUF188cUKCQnR4MGDtXfvXkl/vIEYPXq0oqKiFBQUpMmTJ8tisZT5HPTq1Uvt27eX1WpVbGysOnTooG7duslqtap79+7uNyPvvfeehg4dqm7duikgIECDBw9WdHS0li9ffsb9+vv767777lOdOnV0xRVXqEWLFtq3b5/27duntLQ0TZkyRRdccIEaNGigyZMna9WqVTpx4oRWrFihoUOHqmPHjrJarXrwwQdVp06dMh8PAMAc5ExyJuCrKLoBH5adna2mTZuWWHf55ZerXr16Zdo+MjJSzzzzjHu6Xd++ffXuu++esW1mZqb70+3Y2FjFx8fL5XK5E3RwcLAuuOCCs/Z14YUXuv8fEBAgwzAk/XG319OPoW7dumrQoEGZ4pdUoq3FYikRg7+/v7ufzMxMffjhh+74Y2NjtXXrVmVlZZ1xv0FBQQoMDHQv16lTR06nU0eOHFFAQECJN2ktWrSQJGVlZenw4cMlHgsODi5x7AAA7yBnkjMBX8WN1AAfFh4e7v6O2Cmvv/66fvjhBwUE/PH09ff3V1FRkfvx3Nxc9/8PHTqk+vXr66WXXlJhYaE+/fRTPfzww4qPj5efn1+pvh599FH16dPHvW7Pnj1q0aKFfvjhh1Lty6pp06YljsFut5eI8XzK2m94eLhuuukmPfLII+51GRkZql+/fpn7kqRmzZqpuLhYWVlZ7jc+GRkZ8vPzU6NGjRQeHq7MzEx3e4fDwQ1nAMAHkDPJmYCv4ko34MOuvPJKHT16VG+//bacTqe2bt2qRYsWqW7duu42rVu31g8//L/27ucVuiiO4/jnqTEWNtzSjYXMX6Aom8li/KgpMd0QKVlQWCkL2U2SoUzTrAzNemZpZeEPmCWxQ5nFRLZ3KOlyc5+Vqad44nkcpPdre7unc1afvvd+zzknqlQqur+/Vz6frz27uLjQ7Oyszs7OVF9fr6amJtXV1amhoaH2xfr5+pORkRFtb2/r+vpaT09PKhQKchznXWH/ktHRURWLRZXLZXmep3Q6Ld/3/2vMlziOo729PR0fHysIAh0dHSmRSNQOnwmHw38c7PIa27YVjUa1vr6u29tbua6rzc1N9fT0yLIsOY6j/f19HR4e6uHhQdlsVp7nffh6AADvQ2a+HZkJfC7+dAPfWGNjo/L5vFKplLa2ttTc3KyNjQ2dn5/X9o319/erVCppfHxc4XBYc3Nztbs1o9Go5ufntbCwINd11dLSomw2K8uyFASBYrGYhoaGlMlkNDMzI9/3NTU1Jdd1FYlEtLu7K9u2a3vN/sXg4KDK5bImJycVCoU0NjamUCj04Xu6urq6tLa2pmQyqaurK1mWpaWlJQ0MDEiShoeHtbq6qkqloomJib+OlU6nlUqlFI/H5fu++vr6tLKyIknq7u5WMpnU8vKyqtWqEomEWltbP3QtAID3IzPfjswEPtev4HlzBwAYcHp6KsuyZNu2JOnu7k6dnZ06ODhQJBL54tkBAPB9kJnAz0R7OQCjSqWSFhcXdXNzo8fHR+VyObW1tam9vf2rpwYAwLdCZgI/E+3lAIyanp7W5eWl4vG4PM9TR0eHdnZ2VK1W1dvb++p7sVhMmUzmE2cKAMDXIjOBn4n2cgAAAAAADKG9HAAAAAAAQyi6AQAAAAAwhKIbAAAAAABDKLoBAAAAADCEohsAAAAAAEMougEAAAAAMISiGwAAAAAAQyi6AQAAAAAwhKIbAAAAAABDfgN6ucxLUjBIZgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 989.625x1200 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_context('paper')\n",
    "g1 = sns.catplot(data = perf_clustering[perf_clustering['gene_choice']=='sparse'],\n",
    "            row = 'metric', \n",
    "            y = 'value', \n",
    "            hue = 'check',\n",
    "            x = 'clustering_method', \n",
    "            kind = 'bar', \n",
    "            col = 'method_choice',\n",
    "            #col_wrap = 2,\n",
    "            aspect = 1.5,\n",
    "            height=3, \n",
    "            sharey = True, \n",
    "            hue_order = ['media', 'genetics'],\n",
    "            palette = [media_color, genetics_color], )\n",
    "\n",
    "plt.tight_layout()\n",
    "g1.savefig(results_figures + 'clustering_performance_sparse.pdf', bbox_inches = 'tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "metric_dict = {'adjusted_rand_score':'ARI', 'adjusted_mutual_info_score':'AMI','completeness_score':'Completeness', 'fowlkes_mallows_score':'Fowlkes-\\nMallows'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1475.35x600 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_context('notebook')\n",
    "g1 = sns.catplot(data = perf_clustering[perf_clustering['gene_choice']=='sparse'],\n",
    "            x = 'metric', \n",
    "            y = 'value', \n",
    "            row = 'check',\n",
    "            col = 'clustering_method', \n",
    "            kind = 'bar', \n",
    "            hue = 'method_choice',\n",
    "            #col_wrap = 2,\n",
    "            aspect = 1.5,\n",
    "            height=3, \n",
    "            sharey = True, \n",
    "            hue_order = ['bonobo', 'sweet'],\n",
    "            palette = [bonobo_sparse_color, sweet_sparse_color], \n",
    "            \n",
    "            )\n",
    "\n",
    "#g1.axes.flat[0].set_xticklabels(['\\n'.join(i.split('_')) for i in g1.axes.flat[0].get_xticklabels()])\n",
    "\n",
    "# format the labels with f-strings\n",
    "for ax in g1.axes.flat:\n",
    "    ax.set_xticklabels([metric_dict[i.get_text()] for i in ax.get_xticklabels()])\n",
    "\n",
    "sns.move_legend(g1, \"upper left\", bbox_to_anchor=(.92, .50), title='Network', )\n",
    "\n",
    "plt.tight_layout()\n",
    "g1.savefig(results_figures + 'clustering_performance_sparse_huemethod.pdf', bbox_inches = 'tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1475.35x600 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_context('notebook')\n",
    "g1 = sns.catplot(data = perf_clustering[perf_clustering['gene_choice']=='top1k'],\n",
    "            x = 'metric', \n",
    "            y = 'value', \n",
    "            row = 'check',\n",
    "            col = 'clustering_method', \n",
    "            kind = 'bar', \n",
    "            hue = 'method_choice',\n",
    "            #col_wrap = 2,\n",
    "            aspect = 1.5,\n",
    "            height=3, \n",
    "            sharey = True, \n",
    "            hue_order = ['bonobo', 'sweet','lioness', 'spcc'],\n",
    "            palette = [bonobo_sparse_color, sweet_sparse_color, lioness_sparse_color, spcc_sparse_color], \n",
    "            )\n",
    "\n",
    "\n",
    "# format the labels with f-strings\n",
    "for ax in g1.axes.flat:\n",
    "    ax.set_xticklabels([metric_dict[i.get_text()] for i in ax.get_xticklabels()])\n",
    "\n",
    "sns.move_legend(g1, \"upper left\", bbox_to_anchor=(.92, .50), title='Network', )\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "g1.savefig(results_figures + 'clustering_performance_top1k_huemethod.pdf', bbox_inches = 'tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distance measures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample</th>\n",
       "      <th>test</th>\n",
       "      <th>check</th>\n",
       "      <th>stat</th>\n",
       "      <th>pval</th>\n",
       "      <th>group</th>\n",
       "      <th>method</th>\n",
       "      <th>network</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>dal82_MinimalGlucose</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>644.0</td>\n",
       "      <td>6.339674e-01</td>\n",
       "      <td>dal82</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dal82_MinimalGlucose</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>212.0</td>\n",
       "      <td>1.021154e-04</td>\n",
       "      <td>MinimalGlucose</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dal81_YPDDiauxic</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>720.0</td>\n",
       "      <td>8.416194e-01</td>\n",
       "      <td>dal81</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>dal81_YPDDiauxic</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.211450e-08</td>\n",
       "      <td>YPDDiauxic</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gln3_YPD</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>819.0</td>\n",
       "      <td>9.685043e-01</td>\n",
       "      <td>gln3</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>gzf3_YPDDiauxic</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.211450e-08</td>\n",
       "      <td>YPDDiauxic</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>cosine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>gzf3_YPDRapa</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>636.0</td>\n",
       "      <td>6.075876e-01</td>\n",
       "      <td>gzf3</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>cosine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>gzf3_YPDRapa</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.211450e-08</td>\n",
       "      <td>YPDRapa</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>cosine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>gzf3_YPEtOH</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>701.0</td>\n",
       "      <td>7.985482e-01</td>\n",
       "      <td>gzf3</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>cosine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>gzf3_YPEtOH</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>109.0</td>\n",
       "      <td>2.456088e-06</td>\n",
       "      <td>YPEtOH</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>cosine</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3168 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   sample test     check   stat          pval           group  \\\n",
       "0    dal82_MinimalGlucose   mw  genetics  644.0  6.339674e-01           dal82   \n",
       "1    dal82_MinimalGlucose   mw     media  212.0  1.021154e-04  MinimalGlucose   \n",
       "2        dal81_YPDDiauxic   mw  genetics  720.0  8.416194e-01           dal81   \n",
       "3        dal81_YPDDiauxic   mw     media    0.0  2.211450e-08      YPDDiauxic   \n",
       "4                gln3_YPD   mw  genetics  819.0  9.685043e-01            gln3   \n",
       "..                    ...  ...       ...    ...           ...             ...   \n",
       "523       gzf3_YPDDiauxic   mw     media    0.0  2.211450e-08      YPDDiauxic   \n",
       "524          gzf3_YPDRapa   mw  genetics  636.0  6.075876e-01            gzf3   \n",
       "525          gzf3_YPDRapa   mw     media    0.0  2.211450e-08         YPDRapa   \n",
       "526           gzf3_YPEtOH   mw  genetics  701.0  7.985482e-01            gzf3   \n",
       "527           gzf3_YPEtOH   mw     media  109.0  2.456088e-06          YPEtOH   \n",
       "\n",
       "           method       network   distance  \n",
       "0    bonobo_top1k  bonobo_top1k  euclidean  \n",
       "1    bonobo_top1k  bonobo_top1k  euclidean  \n",
       "2    bonobo_top1k  bonobo_top1k  euclidean  \n",
       "3    bonobo_top1k  bonobo_top1k  euclidean  \n",
       "4    bonobo_top1k  bonobo_top1k  euclidean  \n",
       "..            ...           ...        ...  \n",
       "523    spcc_top1k    spcc_top1k     cosine  \n",
       "524    spcc_top1k    spcc_top1k     cosine  \n",
       "525    spcc_top1k    spcc_top1k     cosine  \n",
       "526    spcc_top1k    spcc_top1k     cosine  \n",
       "527    spcc_top1k    spcc_top1k     cosine  \n",
       "\n",
       "[3168 rows x 9 columns]"
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the correlation performance data\n",
    "\n",
    "fn_correlation = 'network_distance_performance.csv'\n",
    "perf_clustering = pd.DataFrame()\n",
    "for i,val in dictionary_comparison.items():\n",
    "    with open(val+fn_correlation, 'r') as f:\n",
    "        temp = pd.read_csv(f)\n",
    "        temp['distance'] = temp['method'].copy()\n",
    "        temp['method'] = i\n",
    "    perf_clustering = pd.concat([perf_clustering, temp], axis=0)\n",
    "perf_clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split column\n",
    "perf_clustering['method_choice'] = perf_clustering.method.str.split('_').str[0]\n",
    "perf_clustering['gene_choice'] = perf_clustering.method.str.split('_').str[1]\n",
    "perf_clustering.head()\n",
    "perf_clustering.to_csv(results_tables+'network_distance_performance_all.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample</th>\n",
       "      <th>test</th>\n",
       "      <th>check</th>\n",
       "      <th>stat</th>\n",
       "      <th>pval</th>\n",
       "      <th>group</th>\n",
       "      <th>method</th>\n",
       "      <th>network</th>\n",
       "      <th>distance</th>\n",
       "      <th>method_choice</th>\n",
       "      <th>gene_choice</th>\n",
       "      <th>significant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>dal82_MinimalGlucose</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>644.0</td>\n",
       "      <td>6.339674e-01</td>\n",
       "      <td>dal82</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dal82_MinimalGlucose</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>212.0</td>\n",
       "      <td>1.021154e-04</td>\n",
       "      <td>MinimalGlucose</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dal81_YPDDiauxic</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>720.0</td>\n",
       "      <td>8.416194e-01</td>\n",
       "      <td>dal81</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>dal81_YPDDiauxic</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.211450e-08</td>\n",
       "      <td>YPDDiauxic</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gln3_YPD</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>819.0</td>\n",
       "      <td>9.685043e-01</td>\n",
       "      <td>gln3</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>gzf3_YPDDiauxic</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.211450e-08</td>\n",
       "      <td>YPDDiauxic</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>cosine</td>\n",
       "      <td>spcc</td>\n",
       "      <td>top1k</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>gzf3_YPDRapa</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>636.0</td>\n",
       "      <td>6.075876e-01</td>\n",
       "      <td>gzf3</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>cosine</td>\n",
       "      <td>spcc</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>gzf3_YPDRapa</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.211450e-08</td>\n",
       "      <td>YPDRapa</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>cosine</td>\n",
       "      <td>spcc</td>\n",
       "      <td>top1k</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>gzf3_YPEtOH</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>701.0</td>\n",
       "      <td>7.985482e-01</td>\n",
       "      <td>gzf3</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>cosine</td>\n",
       "      <td>spcc</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>gzf3_YPEtOH</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>109.0</td>\n",
       "      <td>2.456088e-06</td>\n",
       "      <td>YPEtOH</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>cosine</td>\n",
       "      <td>spcc</td>\n",
       "      <td>top1k</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3168 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   sample test     check   stat          pval           group  \\\n",
       "0    dal82_MinimalGlucose   mw  genetics  644.0  6.339674e-01           dal82   \n",
       "1    dal82_MinimalGlucose   mw     media  212.0  1.021154e-04  MinimalGlucose   \n",
       "2        dal81_YPDDiauxic   mw  genetics  720.0  8.416194e-01           dal81   \n",
       "3        dal81_YPDDiauxic   mw     media    0.0  2.211450e-08      YPDDiauxic   \n",
       "4                gln3_YPD   mw  genetics  819.0  9.685043e-01            gln3   \n",
       "..                    ...  ...       ...    ...           ...             ...   \n",
       "523       gzf3_YPDDiauxic   mw     media    0.0  2.211450e-08      YPDDiauxic   \n",
       "524          gzf3_YPDRapa   mw  genetics  636.0  6.075876e-01            gzf3   \n",
       "525          gzf3_YPDRapa   mw     media    0.0  2.211450e-08         YPDRapa   \n",
       "526           gzf3_YPEtOH   mw  genetics  701.0  7.985482e-01            gzf3   \n",
       "527           gzf3_YPEtOH   mw     media  109.0  2.456088e-06          YPEtOH   \n",
       "\n",
       "           method       network   distance method_choice gene_choice  \\\n",
       "0    bonobo_top1k  bonobo_top1k  euclidean        bonobo       top1k   \n",
       "1    bonobo_top1k  bonobo_top1k  euclidean        bonobo       top1k   \n",
       "2    bonobo_top1k  bonobo_top1k  euclidean        bonobo       top1k   \n",
       "3    bonobo_top1k  bonobo_top1k  euclidean        bonobo       top1k   \n",
       "4    bonobo_top1k  bonobo_top1k  euclidean        bonobo       top1k   \n",
       "..            ...           ...        ...           ...         ...   \n",
       "523    spcc_top1k    spcc_top1k     cosine          spcc       top1k   \n",
       "524    spcc_top1k    spcc_top1k     cosine          spcc       top1k   \n",
       "525    spcc_top1k    spcc_top1k     cosine          spcc       top1k   \n",
       "526    spcc_top1k    spcc_top1k     cosine          spcc       top1k   \n",
       "527    spcc_top1k    spcc_top1k     cosine          spcc       top1k   \n",
       "\n",
       "     significant  \n",
       "0              0  \n",
       "1              0  \n",
       "2              0  \n",
       "3              1  \n",
       "4              0  \n",
       "..           ...  \n",
       "523            1  \n",
       "524            0  \n",
       "525            1  \n",
       "526            0  \n",
       "527            1  \n",
       "\n",
       "[3168 rows x 12 columns]"
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perf_clustering['significant'] = 1*(perf_clustering['pval'] < (0.05/len(perf_clustering)))\n",
    "perf_clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample</th>\n",
       "      <th>test</th>\n",
       "      <th>check</th>\n",
       "      <th>stat</th>\n",
       "      <th>pval</th>\n",
       "      <th>group</th>\n",
       "      <th>method</th>\n",
       "      <th>network</th>\n",
       "      <th>distance</th>\n",
       "      <th>method_choice</th>\n",
       "      <th>gene_choice</th>\n",
       "      <th>significant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>WT(ho)_AmmoniumSulfate</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>649.0</td>\n",
       "      <td>6.501476e-01</td>\n",
       "      <td>WT(ho)</td>\n",
       "      <td>bonobo_sparse</td>\n",
       "      <td>bonobo_sparse</td>\n",
       "      <td>cosine</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>sparse</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>WT(ho)_AmmoniumSulfate</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>651.0</td>\n",
       "      <td>6.565460e-01</td>\n",
       "      <td>WT(ho)</td>\n",
       "      <td>bonobo_sparse</td>\n",
       "      <td>bonobo_sparse</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>sparse</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>WT(ho)_AmmoniumSulfate</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>580.0</td>\n",
       "      <td>4.159123e-01</td>\n",
       "      <td>WT(ho)</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>cosine</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>WT(ho)_AmmoniumSulfate</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>586.0</td>\n",
       "      <td>4.363007e-01</td>\n",
       "      <td>WT(ho)</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>bonobo</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>WT(ho)_AmmoniumSulfate</td>\n",
       "      <td>mw</td>\n",
       "      <td>genetics</td>\n",
       "      <td>620.0</td>\n",
       "      <td>5.534377e-01</td>\n",
       "      <td>WT(ho)</td>\n",
       "      <td>lioness_top1k</td>\n",
       "      <td>lioness_top1k</td>\n",
       "      <td>cosine</td>\n",
       "      <td>lioness</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>stp2_YPEtOH</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>20.0</td>\n",
       "      <td>5.569165e-08</td>\n",
       "      <td>YPEtOH</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>spcc</td>\n",
       "      <td>top1k</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>stp2_YPEtOH</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>148.0</td>\n",
       "      <td>1.093699e-05</td>\n",
       "      <td>YPEtOH</td>\n",
       "      <td>sweet_sparse</td>\n",
       "      <td>sweet_sparse</td>\n",
       "      <td>cosine</td>\n",
       "      <td>sweet</td>\n",
       "      <td>sparse</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>stp2_YPEtOH</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>149.0</td>\n",
       "      <td>1.134897e-05</td>\n",
       "      <td>YPEtOH</td>\n",
       "      <td>sweet_sparse</td>\n",
       "      <td>sweet_sparse</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>sweet</td>\n",
       "      <td>sparse</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>stp2_YPEtOH</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>266.0</td>\n",
       "      <td>5.461848e-04</td>\n",
       "      <td>YPEtOH</td>\n",
       "      <td>sweet_top1k</td>\n",
       "      <td>sweet_top1k</td>\n",
       "      <td>cosine</td>\n",
       "      <td>sweet</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>stp2_YPEtOH</td>\n",
       "      <td>mw</td>\n",
       "      <td>media</td>\n",
       "      <td>241.0</td>\n",
       "      <td>2.572812e-04</td>\n",
       "      <td>YPEtOH</td>\n",
       "      <td>sweet_top1k</td>\n",
       "      <td>sweet_top1k</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>sweet</td>\n",
       "      <td>top1k</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3168 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     sample test     check   stat          pval   group  \\\n",
       "302  WT(ho)_AmmoniumSulfate   mw  genetics  649.0  6.501476e-01  WT(ho)   \n",
       "38   WT(ho)_AmmoniumSulfate   mw  genetics  651.0  6.565460e-01  WT(ho)   \n",
       "302  WT(ho)_AmmoniumSulfate   mw  genetics  580.0  4.159123e-01  WT(ho)   \n",
       "38   WT(ho)_AmmoniumSulfate   mw  genetics  586.0  4.363007e-01  WT(ho)   \n",
       "314  WT(ho)_AmmoniumSulfate   mw  genetics  620.0  5.534377e-01  WT(ho)   \n",
       "..                      ...  ...       ...    ...           ...     ...   \n",
       "131             stp2_YPEtOH   mw     media   20.0  5.569165e-08  YPEtOH   \n",
       "391             stp2_YPEtOH   mw     media  148.0  1.093699e-05  YPEtOH   \n",
       "127             stp2_YPEtOH   mw     media  149.0  1.134897e-05  YPEtOH   \n",
       "391             stp2_YPEtOH   mw     media  266.0  5.461848e-04  YPEtOH   \n",
       "127             stp2_YPEtOH   mw     media  241.0  2.572812e-04  YPEtOH   \n",
       "\n",
       "            method        network   distance method_choice gene_choice  \\\n",
       "302  bonobo_sparse  bonobo_sparse     cosine        bonobo      sparse   \n",
       "38   bonobo_sparse  bonobo_sparse  euclidean        bonobo      sparse   \n",
       "302   bonobo_top1k   bonobo_top1k     cosine        bonobo       top1k   \n",
       "38    bonobo_top1k   bonobo_top1k  euclidean        bonobo       top1k   \n",
       "314  lioness_top1k  lioness_top1k     cosine       lioness       top1k   \n",
       "..             ...            ...        ...           ...         ...   \n",
       "131     spcc_top1k     spcc_top1k  euclidean          spcc       top1k   \n",
       "391   sweet_sparse   sweet_sparse     cosine         sweet      sparse   \n",
       "127   sweet_sparse   sweet_sparse  euclidean         sweet      sparse   \n",
       "391    sweet_top1k    sweet_top1k     cosine         sweet       top1k   \n",
       "127    sweet_top1k    sweet_top1k  euclidean         sweet       top1k   \n",
       "\n",
       "     significant  \n",
       "302            0  \n",
       "38             0  \n",
       "302            0  \n",
       "38             0  \n",
       "314            0  \n",
       "..           ...  \n",
       "131            1  \n",
       "391            1  \n",
       "127            1  \n",
       "391            0  \n",
       "127            0  \n",
       "\n",
       "[3168 rows x 12 columns]"
      ]
     },
     "execution_count": 270,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perf_clustering.sort_values(by = ['sample','test', 'check', 'method','distance'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [],
   "source": [
    "method_order = ['bonobo_top1k', 'bonobo_sparse', 'sweet_top1k', 'sweet_sparse', 'lioness_top1k', 'spcc_top1k']\n",
    "method_palette = ['#fb9a99', '#e31a1c', '#a6cee3', '#1f78b4', '#b2df8a', '#6a3d9a']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 928x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g1 = sns.catplot(data = perf_clustering[perf_clustering['significant']==1], y = 'group', hue = 'method', kind = 'count', aspect = .8,\n",
    "            palette = method_palette, hue_order=method_order, col = 'distance')\n",
    "g1.set_titles('Distance: {col_name}')\n",
    "g1.set_xlabels('Number of significant samples')\n",
    "g1.fig.savefig(results_figures + 'network_distance_performance_significant_samples.pdf', bbox_inches = 'tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 928x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "perf_clustering['significant'] = 1*(perf_clustering['pval'] < (0.05))\n",
    "perf_clustering\n",
    "\n",
    "g1 = sns.catplot(data = perf_clustering[perf_clustering['significant']==1], y = 'group', hue = 'method', kind = 'count', aspect = .8,\n",
    "            palette = method_palette, hue_order=method_order, col = 'distance')\n",
    "g1.set_titles('Distance: {col_name}')\n",
    "g1.set_xlabels('Number of significant samples')\n",
    "g1.fig.savefig(results_figures + 'network_distance_performance_significant_samples_nobonferroni.pdf', bbox_inches = 'tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>group</th>\n",
       "      <th>method</th>\n",
       "      <th>check</th>\n",
       "      <th>distance</th>\n",
       "      <th>stat</th>\n",
       "      <th>pval</th>\n",
       "      <th>significant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AmmoniumSulfate</td>\n",
       "      <td>bonobo_sparse</td>\n",
       "      <td>media</td>\n",
       "      <td>cosine</td>\n",
       "      <td>1831.0</td>\n",
       "      <td>0.000252</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AmmoniumSulfate</td>\n",
       "      <td>bonobo_sparse</td>\n",
       "      <td>media</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>1804.0</td>\n",
       "      <td>0.000260</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AmmoniumSulfate</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>media</td>\n",
       "      <td>cosine</td>\n",
       "      <td>4373.0</td>\n",
       "      <td>0.178382</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AmmoniumSulfate</td>\n",
       "      <td>bonobo_top1k</td>\n",
       "      <td>media</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>4889.0</td>\n",
       "      <td>0.574231</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AmmoniumSulfate</td>\n",
       "      <td>lioness_top1k</td>\n",
       "      <td>media</td>\n",
       "      <td>cosine</td>\n",
       "      <td>7712.0</td>\n",
       "      <td>5.438873</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>stp2</td>\n",
       "      <td>spcc_top1k</td>\n",
       "      <td>genetics</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>7122.0</td>\n",
       "      <td>6.892632</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>stp2</td>\n",
       "      <td>sweet_sparse</td>\n",
       "      <td>genetics</td>\n",
       "      <td>cosine</td>\n",
       "      <td>6184.0</td>\n",
       "      <td>3.951277</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>stp2</td>\n",
       "      <td>sweet_sparse</td>\n",
       "      <td>genetics</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>6213.0</td>\n",
       "      <td>4.067673</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>stp2</td>\n",
       "      <td>sweet_top1k</td>\n",
       "      <td>genetics</td>\n",
       "      <td>cosine</td>\n",
       "      <td>6163.0</td>\n",
       "      <td>3.884016</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>stp2</td>\n",
       "      <td>sweet_top1k</td>\n",
       "      <td>genetics</td>\n",
       "      <td>euclidean</td>\n",
       "      <td>6232.0</td>\n",
       "      <td>4.117687</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>276 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               group         method     check   distance    stat      pval  \\\n",
       "0    AmmoniumSulfate  bonobo_sparse     media     cosine  1831.0  0.000252   \n",
       "1    AmmoniumSulfate  bonobo_sparse     media  euclidean  1804.0  0.000260   \n",
       "2    AmmoniumSulfate   bonobo_top1k     media     cosine  4373.0  0.178382   \n",
       "3    AmmoniumSulfate   bonobo_top1k     media  euclidean  4889.0  0.574231   \n",
       "4    AmmoniumSulfate  lioness_top1k     media     cosine  7712.0  5.438873   \n",
       "..               ...            ...       ...        ...     ...       ...   \n",
       "271             stp2     spcc_top1k  genetics  euclidean  7122.0  6.892632   \n",
       "272             stp2   sweet_sparse  genetics     cosine  6184.0  3.951277   \n",
       "273             stp2   sweet_sparse  genetics  euclidean  6213.0  4.067673   \n",
       "274             stp2    sweet_top1k  genetics     cosine  6163.0  3.884016   \n",
       "275             stp2    sweet_top1k  genetics  euclidean  6232.0  4.117687   \n",
       "\n",
       "     significant  \n",
       "0             12  \n",
       "1             12  \n",
       "2             11  \n",
       "3              9  \n",
       "4              0  \n",
       "..           ...  \n",
       "271            0  \n",
       "272            0  \n",
       "273            0  \n",
       "274            0  \n",
       "275            0  \n",
       "\n",
       "[276 rows x 7 columns]"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gperf = perf_clustering.groupby(['group', 'method','check','distance']).sum().reset_index()\n",
    "gperf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='significant', ylabel='group'>"
      ]
     },
     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(data = gperf[gperf['check']=='media'], y = 'group', x = 'significant', hue = 'method', hue_order=method_order, palette = method_palette)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='significant', ylabel='group'>"
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(data = gperf[gperf['check']=='genetics'], y = 'group', x = 'significant', hue = 'method', hue_order=method_order, palette = method_palette)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
